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drop another .md file to compare - side-by-side diff against ffmpeg

ffmpeg

Converts, trims, and resizes your video and audio files.
description: "Triggers on prompt mention of 'ffmpeg'."
personal 2 files 10 recent evals

What it does for you

Converts, trims, and resizes your video and audio files.

What it produces

A recent result, so you can see the kind of work it returns.

loading…

How to get it

These run inside the Snappy workspace. Want this working in your business? I set skills like this up with you, in one focused week.

Work with me
For developers how this skill is built, graded, and how it runs

at a glance- the short version

actorExported functions in state/lib/ffmpeg.ts.
auditorNone wired yet - eval is manual (Robert review).
eval modeshape
categoryContent
stages3

what's inside - the parts that make up a skill 3/4 present

A skill is just a few plain-text files. Only the main one is required. The rest are optional, added as the work needs them. This is what the skill is made of; how it runs is just below.

The skill
state/skills/ffmpeg/SKILL.md present
the skill itself, in plain text
The main file. It says what the skill is and lays out the steps in plain English.
Code
state/lib/ffmpeg.ts present
code the skill can run
Reusable code this skill can call when it needs to.
Scripts
state/bin/ffmpeg/ not present
helper scripts
Optional. Added when a skill has a few commands to run.
Loader
state/skills/ffmpeg/AGENTS.md present
what the AI loads on the fly
Loaded automatically the moment this skill is needed. Kept short on purpose.

how it's graded - what counts as a good run 4 criteria · 3 deterministic · 1 judge

Each row is one thing a good run has to get right. deterministic means a quick check decides, pass or fail. judge means the AI reads the result and rates it. Grading each piece on its own (instead of one overall score) shows exactly where a run fell short, so the fix is obvious.

name
kind
check
ffmpeg_binary_present
deterministic
The 'ffmpeg' executable must be found in the system's PATH or a specified location.
required_inputs_are_strings
deterministic
The inputs 'probe_input', 'trim_input', and 'concat_input' must be provided as strings to the skill.
functional_api_calls
judge
The skill's invoked function (e.g., probe, trim) must execute successfully without errors and produce expected output for valid inputs.
log_entry_created
deterministic
A 'state/log/pending-eval.ndjson' row must be created for each skill execution.

how it runs - the shared frame every skill uses 5/5 present

Every skill runs the same way. One part does the work, a separate part checks it, and a short loader hands the AI exactly what it needs for the job. Anything this skill doesn't use shows a one-line note saying why, on purpose, not by accident.

makes the work The worker
present
Exported functions in state/lib/ffmpeg.ts. the worker
Does the actual work. Whatever it produces is what gets checked next.
checks the work The reviewer
present
None wired yet - eval is manual (Robert review). the checker
A separate checker grades the work, so the part that made it can't approve its own work.
frame
learns Self-correction
present
fixes itself learns from gaps
When a run hits a gap, the skill gets edited on the spot [FIXED] or queued for a bigger rewrite [LOGGED], so it keeps getting better.
tidies up Background fixes
present
queued for rewrite runs in the background
Bigger fixes that can't be made on the spot get queued and rewritten in the background later.
remembers Run history
present
state/log/pending-eval.ndjson pending runs
Every run is written down here, then reviewed by hand each week.
Critical rules the things this skill must not get wrong
No must-not-break rules called out for this skill. Anything important lives in the writeup below.

what it has learned - fixes written back in over time sample

When a run hits something this skill didn't handle, the fix gets written back into the skill so it doesn't happen again. FIXED means it was corrected on the spot. LOGGED means it's queued for a bigger rewrite. Either way, the skill gets a little better and never makes the same mistake twice.

  1. Loading feedback rows…

how the work flows- who makes it, who checks it

actor Exported functions in state/lib/ffmpeg.ts.
1 generator
invoke
actor = Exported functions in state/lib/ffmpeg.ts.
import from `state/lib/ffmpeg.ts` — `probe()`, `trim()`, `concat()`, `resizeLocal()`, `compress()`, `extractAudioLocal()`, `burnSubs()`, `thumbnail()`, `loudnorm()`, `overlay()
auditor None wired yet - eval is manual (Robert review).
2 auditor
inspect
auditor = None wired yet - eval is manual (Robert review).
probe()` the input first to confirm codec/duration/streams before transforming
3 data
eval log
`state/log/pending-eval.ndjson` (manual eval — skill: "ffmpeg")

SKILL.md- the skill, written out in plain English

ffmpeg

snappy-ffmpeg/api.ts - Local ffmpeg primitive layer.

Ported from kernel snappy-ffmpeg in Phase 0.5. See state/lib/ffmpeg.ts for the full API surface.

Steps

  • probe() - see state/lib/ffmpeg.ts
  • trim() - see state/lib/ffmpeg.ts
  • concat() - see state/lib/ffmpeg.ts
  • resizeLocal() - see state/lib/ffmpeg.ts
  • compress() - see state/lib/ffmpeg.ts
  • extractAudioLocal() - see state/lib/ffmpeg.ts
  • burnSubs() - see state/lib/ffmpeg.ts
  • thumbnail() - see state/lib/ffmpeg.ts
  • loudnorm() - see state/lib/ffmpeg.ts
  • overlay() - see state/lib/ffmpeg.ts

Eval

Actor: the exported functions in state/lib/ffmpeg.ts. Auditor: none wired yet - eval is manual (Robert review). File a state/log/pending-eval.ndjson row on each run.

Score convention:

OutcomeScore
Pass on first try1.0
Failed first, auto-fix applied, re-check passed0.5
Still failing or unrecoverable0.0

Gotchas

via the Phase 0.5 driver. Only these rewrites were applied: already in state/lib/)

  1. realpathSync(process.argv[1]) CLI guard wrapped in try/catch
  • See the kernel SKILL.md for the original long-form guidance if you need it

(read-only reference at the kernel path above).

Graduation

This skill is prose. Graduate by defining a deterministic auditor and flipping eval: auto.

Rubric

criteria:
  - name: ffmpeg_binary_present
    kind: deterministic
    check: "The 'ffmpeg' executable must be found in the system's PATH or a specified location."
  - name: required_inputs_are_strings
    kind: deterministic
    check: "The inputs 'probe_input', 'trim_input', and 'concat_input' must be provided as strings to the skill."
  - name: functional_api_calls
    kind: judge
    check: "The skill's invoked function (e.g., probe, trim) must execute successfully without errors and produce expected output for valid inputs."
  - name: log_entry_created
    kind: deterministic
    check: "A 'state/log/pending-eval.ndjson' row must be created for each skill execution."

AGENTS.md- what the AI loads when this skill comes up

ffmpeg - loader

Per-turn rules for the ffmpeg skill. Full reference: state/skills/ffmpeg/SKILL.md. Do not skip these.

Critical Rules

_(no failures recorded yet - this skill is a Phase 0.5 prose port from kernel snappy-ffmpeg. No hard-won rules have surfaced yet. Read state/skills/ffmpeg/SKILL.md and state/lib/ffmpeg.ts before invoking.)_

Commands

| ui dashboard | state/skills/ffmpeg/resources/ui.openui | |invoke: import from state/lib/ffmpeg.ts - probe(), trim(), concat(), resizeLocal(), compress(), extractAudioLocal(), burnSubs(), thumbnail(), loudnorm(), overlay() |verify: probe() the input first to confirm codec/duration/streams before transforming |eval log: state/log/pending-eval.ndjson (manual eval - skill: "ffmpeg")

OpenUI Resource

  • Skill-owned OpenUI Lang resource: state/skills/ffmpeg/resources/ui.openui. Read it before rendering or editing this skill's generated component surface.
  • Treat this resource as a first-class artifact of the skill, not a generic chat response. Improve it when the skill's user-facing output needs to become richer.
  • System resources compose OpenUI primitives and inherit SnappyChat tokens. Use ui_contract: branded in SKILL.md only for deliberate platform or client visuals.

Known Pitfalls

  • loudnorm is two-pass for accuracy (measure → apply); single-pass is faster but less consistent
  • ffmpeg binary must be on PATH - fails ugly otherwise

Self-Test

An agent reading this should correctly:

  1. [ ] probe() before any transformation to know what you're dealing with
  2. [ ] Use extractAudioLocal() not a hand-rolled -vn -acodec copy
  3. [ ] Log to pending-eval.ndjson

Self-report

If this loader fell short, append a line:

echo "[$(date -u +%FT%TZ)] ffmpeg: <what was missing>" >> state/log/loader-feedback.log

<!-- kernel-ok: historical attribution for the PID-loader pattern. -->

Self-correcting loader (PID feedback)

This is the rule that makes loaders learn. Ported from snappy-kernel, where it demonstrably worked: the snappy-dom-cartographer skill mapped Skool admin UI once, every later ship-agent inherited the full map for free.

Before you finish, do two things:

1. Fix gaps (P - proportional). MANDATORY. If this loader didn't cover your case - if you had to read another file, run an undocumented command, work around a wrong selector, or discover a quirk - you MUST attempt an Edit to this AGENTS.md before you log.

  • Default action: edit this file. Surgical. Add the missing line, table

row, or code example where it belongs. No restructuring.

  • Only LOGGED is allowed when: the fix needs >10 lines, spans multiple

files, or requires a structural rewrite. In that case the state/regen/drain.sh queue picks it up asynchronously.

  • "I didn't have time" / "it's minor" / "the next agent will figure it out"

are NOT valid reasons. Minor gaps compound - that's the whole point of this loop.

  • Concrete example of a valid P-fix: discover agent-browser screenshot

takes path positionally not as --output <path>. One line in a table. Edit it in. Do not just log it.

  • The goal: the next agent never has to leave the loader.

2. Log the result.

echo "[$(date -u +%FT%TZ)] ffmpeg: <what was missing or fixed> [FIXED|LOGGED]" >> state/log/loader-feedback.log
  • FIXED = you patched this loader inline (P-fix).
  • LOGGED = too large for inline; the PostToolUse enqueue + Stop-hook drain

will rewrite the loader from scratch on next session-end.

Do not skip this. Every agent run must leave the system better than it found it. The loader is the setpoint; you are the sensor; the gap is the error signal; closing the gap is the correction.

api.ts- the code it can call

#!/usr/bin/env npx tsx
/**
 * snappy-ffmpeg/api.ts — Local ffmpeg primitive layer.
 *
 * Public API:
 *   probe(path)                  — JSON metadata via ffprobe
 *   trim(path, start, end, opts) — Keyframe or frame-accurate trim
 *   concat(paths, output)        — Concatenate video files
 *   resizeLocal(path, format, output) — Letterbox resize to 16:9, 9:16, 1:1
 *   compress(path, opts)              — H.264 web compression
 *   extractAudioLocal(path, fmt, out) — Extract audio track
 *   burnSubs(path, subs, output) — Burn SRT/ASS subtitles into video
 *   thumbnail(path, ts, output)  — Extract a single frame as JPG
 *   loudnorm(path, lufs, output) — EBU R128 loudness normalization
 *   overlay(base, over, pos, out)— PiP or watermark overlay
 *
 * CLI:
 *   npx tsx api.ts probe <path>
 *   npx tsx api.ts trim <path> <start> <end>
 *   npx tsx api.ts resize <path> <format>
 *   npx tsx api.ts compress <path>
 *   npx tsx api.ts extract-audio <path> [format]
 *   npx tsx api.ts burn-subs <path> <subs-path>
 *   npx tsx api.ts thumbnail <path> [timestamp]
 *   npx tsx api.ts loudnorm <path>
 *   npx tsx api.ts concat <path1> <path2> [path3...]
 *   npx tsx api.ts overlay <base> <overlay> [position]
 */

import { env } from "./env.ts";
import { execSync } from "child_process";
import { existsSync, realpathSync, unlinkSync, writeFileSync } from "fs";
import { extname, basename } from "path";

// ---------------------------------------------------------------------------
// Constants
// ---------------------------------------------------------------------------

const FFMPEG = "/opt/homebrew/bin/ffmpeg";
const FFPROBE = "/opt/homebrew/bin/ffprobe";

function tmpPath(operation: string, ext: string): string {
  const stamp = Date.now();
  return `/tmp/snappy-ffmpeg-${operation}-${stamp}${ext}`;
}

// ---------------------------------------------------------------------------
// Result type
// ---------------------------------------------------------------------------

export type Result = {
  ok: boolean;
  output: string;
  path?: string;
  error?: string;
  durationMs: number;
};

function run(cmd: string, outputPath?: string): Result {
  const start = Date.now();
  try {
    const stdout = execSync(cmd, {
      encoding: "utf-8",
      maxBuffer: 50 * 1024 * 1024,
      stdio: ["pipe", "pipe", "pipe"],
    });
    return {
      ok: true,
      output: stdout.trim(),
      path: outputPath,
      durationMs: Date.now() - start,
    };
  } catch (e: any) {
    return {
      ok: false,
      output: "",
      error: e.stderr?.toString()?.trim() || e.message,
      path: outputPath,
      durationMs: Date.now() - start,
    };
  }
}

function assertFile(path: string): void {
  if (!existsSync(path)) throw new Error(`File not found: ${path}`);
}

function q(s: string): string {
  // Shell-escape a path
  return `'${s.replace(/'/g, "'\\''")}'`;
}

// ---------------------------------------------------------------------------
// 1. probe
// ---------------------------------------------------------------------------

export type ProbeInfo = {
  duration: number;
  width: number;
  height: number;
  codec_video: string;
  codec_audio: string;
  frame_rate: string;
  bit_rate: number;
  audio_sample_rate: number;
  audio_channels: number;
  format: string;
  raw: any;
};

export function probe(path: string): Result & { info?: ProbeInfo } {
  assertFile(path);
  const cmd = `${FFPROBE} -v quiet -print_format json -show_format -show_streams ${q(path)}`;
  const result = run(cmd);
  if (!result.ok) return result;

  try {
    const raw = JSON.parse(result.output);
    const videoStream = raw.streams?.find((s: any) => s.codec_type === "video") || {};
    const audioStream = raw.streams?.find((s: any) => s.codec_type === "audio") || {};

    const info: ProbeInfo = {
      duration: parseFloat(raw.format?.duration || "0"),
      width: videoStream.width || 0,
      height: videoStream.height || 0,
      codec_video: videoStream.codec_name || "",
      codec_audio: audioStream.codec_name || "",
      frame_rate: videoStream.r_frame_rate || "",
      bit_rate: parseInt(raw.format?.bit_rate || "0", 10),
      audio_sample_rate: parseInt(audioStream.sample_rate || "0", 10),
      audio_channels: audioStream.channels || 0,
      format: raw.format?.format_name || "",
      raw,
    };

    return { ...result, info };
  } catch {
    return { ...result, error: "Failed to parse ffprobe JSON" };
  }
}

// ---------------------------------------------------------------------------
// 2. trim
// ---------------------------------------------------------------------------

export type TrimOpts = {
  /** If true, re-encode for frame-accurate cuts. Default false (keyframe-aligned, -c copy). */
  frameAccurate?: boolean;
  /** Output path. Auto-generated if omitted. */
  output?: string;
};

export function trim(path: string, start: string, end: string, opts?: TrimOpts): Result {
  assertFile(path);
  const ext = extname(path) || ".mp4";
  const out = opts?.output || tmpPath("trim", ext);

  let cmd: string;
  if (opts?.frameAccurate) {
    cmd = `${FFMPEG} -y -i ${q(path)} -ss ${q(start)} -to ${q(end)} -c:v libx264 -crf 18 -preset medium -c:a aac -b:a 192k -movflags +faststart ${q(out)}`;
  } else {
    cmd = `${FFMPEG} -y -ss ${q(start)} -to ${q(end)} -i ${q(path)} -c copy ${q(out)}`;
  }

  return run(cmd, out);
}

// ---------------------------------------------------------------------------
// 3. concat
// ---------------------------------------------------------------------------

export function concat(paths: string[], output: string): Result {
  for (const p of paths) assertFile(p);

  // Check if all files share the same codec — use concat demuxer if so
  const codecs = paths.map((p) => {
    const r = probe(p);
    return r.info ? `${r.info.codec_video}:${r.info.codec_audio}` : "";
  });
  const sameCodec = codecs.every((c) => c === codecs[0] && c !== "");

  if (sameCodec) {
    // Fast concat via demuxer
    const listFile = `/tmp/snappy-ffmpeg-concat-${Date.now()}.txt`;
    const content = paths.map((p) => `file ${q(p)}`).join("\n");
    writeFileSync(listFile, content);
    const cmd = `${FFMPEG} -y -f concat -safe 0 -i ${q(listFile)} -c copy ${q(output)}`;
    const result = run(cmd, output);
    try { unlinkSync(listFile); } catch {}
    return result;
  } else {
    // Re-encode concat via filter_complex
    const inputs = paths.map((p) => `-i ${q(p)}`).join(" ");
    const n = paths.length;
    const filterParts = Array.from({ length: n }, (_, i) => `[${i}:v:0][${i}:a:0]`).join("");
    const cmd = `${FFMPEG} -y ${inputs} -filter_complex "${filterParts}concat=n=${n}:v=1:a=1[outv][outa]" -map "[outv]" -map "[outa]" -c:v libx264 -crf 23 -preset medium -c:a aac -b:a 192k -movflags +faststart ${q(output)}`;
    return run(cmd, output);
  }
}

// ---------------------------------------------------------------------------
// 4. resize
// ---------------------------------------------------------------------------

type AspectFormat = "16:9" | "9:16" | "1:1";

const RESIZE_DIMS: Record<AspectFormat, { w: number; h: number }> = {
  "16:9": { w: 1920, h: 1080 },
  "9:16": { w: 1080, h: 1920 },
  "1:1": { w: 1080, h: 1080 },
};

export function resizeLocal(path: string, format: AspectFormat, output?: string): Result {
  assertFile(path);
  const { w, h } = RESIZE_DIMS[format];
  const ext = extname(path) || ".mp4";
  const out = output || tmpPath("resize", ext);

  const vf = `scale=${w}:${h}:force_original_aspect_ratio=decrease,pad=${w}:${h}:-1:-1:color=black`;
  const cmd = `${FFMPEG} -y -i ${q(path)} -vf "${vf}" -c:v libx264 -crf 23 -preset medium -c:a copy -movflags +faststart ${q(out)}`;
  return run(cmd, out);
}

// ---------------------------------------------------------------------------
// 5. compress
// ---------------------------------------------------------------------------

export type CompressOpts = {
  crf?: number;
  preset?: string;
  faststart?: boolean;
  output?: string;
};

export function compress(path: string, opts?: CompressOpts): Result {
  assertFile(path);
  const crf = opts?.crf ?? 23;
  const preset = opts?.preset ?? "medium";
  const faststart = opts?.faststart !== false;
  const ext = extname(path) || ".mp4";
  const out = opts?.output || tmpPath("compress", ext);

  let cmd = `${FFMPEG} -y -i ${q(path)} -c:v libx264 -crf ${crf} -preset ${preset} -c:a aac -b:a 128k`;
  if (faststart) cmd += " -movflags +faststart";
  cmd += ` ${q(out)}`;
  return run(cmd, out);
}

// ---------------------------------------------------------------------------
// 6. extractAudio
// ---------------------------------------------------------------------------

type AudioFormat = "m4a" | "mp3" | "wav";

const AUDIO_CODEC: Record<AudioFormat, string> = {
  m4a: "-c:a aac -b:a 192k",
  mp3: "-c:a libmp3lame -b:a 192k",
  wav: "-c:a pcm_s16le",
};

export function extractAudioLocal(path: string, format?: AudioFormat, output?: string): Result {
  assertFile(path);
  const fmt = format || "m4a";
  const out = output || tmpPath("audio", `.${fmt}`);
  const codec = AUDIO_CODEC[fmt];
  const cmd = `${FFMPEG} -y -i ${q(path)} -vn ${codec} ${q(out)}`;
  return run(cmd, out);
}

// ---------------------------------------------------------------------------
// 7. burnSubs
// ---------------------------------------------------------------------------

export function burnSubs(path: string, subsPath: string, output?: string): Result {
  assertFile(path);
  assertFile(subsPath);
  const ext = extname(path) || ".mp4";
  const out = output || tmpPath("subs", ext);

  const subsExt = extname(subsPath).toLowerCase();
  let vf: string;
  if (subsExt === ".ass" || subsExt === ".ssa") {
    vf = `ass=${q(subsPath).slice(1, -1)}`; // ass filter takes unquoted path
  } else {
    // SRT and other text-based subs via subtitles filter
    vf = `subtitles=${q(subsPath).slice(1, -1)}`;
  }

  const cmd = `${FFMPEG} -y -i ${q(path)} -vf "${vf}" -c:v libx264 -crf 18 -preset medium -c:a copy -movflags +faststart ${q(out)}`;
  return run(cmd, out);
}

// ---------------------------------------------------------------------------
// 8. thumbnail
// ---------------------------------------------------------------------------

export function thumbnail(path: string, timestamp?: string, output?: string): Result {
  assertFile(path);
  const ts = timestamp || "00:00:05";
  const out = output || tmpPath("thumb", ".jpg");
  const cmd = `${FFMPEG} -y -ss ${q(ts)} -i ${q(path)} -frames:v 1 -q:v 2 ${q(out)}`;
  return run(cmd, out);
}

// ---------------------------------------------------------------------------
// 9. loudnorm
// ---------------------------------------------------------------------------

export function loudnorm(path: string, targetLufs?: number, output?: string): Result {
  assertFile(path);
  const lufs = targetLufs ?? -14;
  const ext = extname(path) || ".mp4";
  const out = output || tmpPath("loudnorm", ext);

  // Two-pass loudnorm: first pass measures, second pass applies.
  // For simplicity we use single-pass (close enough for most content).
  const af = `loudnorm=I=${lufs}:TP=-1.5:LRA=11`;
  const cmd = `${FFMPEG} -y -i ${q(path)} -af "${af}" -c:v copy -movflags +faststart ${q(out)}`;
  return run(cmd, out);
}

// ---------------------------------------------------------------------------
// 10. overlay
// ---------------------------------------------------------------------------

export type OverlayPosition = "top-left" | "top-right" | "bottom-left" | "bottom-right" | "center";

const OVERLAY_XY: Record<OverlayPosition, string> = {
  "top-left": "10:10",
  "top-right": "main_w-overlay_w-10:10",
  "bottom-left": "10:main_h-overlay_h-10",
  "bottom-right": "main_w-overlay_w-10:main_h-overlay_h-10",
  "center": "(main_w-overlay_w)/2:(main_h-overlay_h)/2",
};

export function overlay(
  basePath: string,
  overlayPath: string,
  position?: OverlayPosition,
  output?: string,
): Result {
  assertFile(basePath);
  assertFile(overlayPath);
  const pos = position || "bottom-right";
  const ext = extname(basePath) || ".mp4";
  const out = output || tmpPath("overlay", ext);
  const xy = OVERLAY_XY[pos];

  const cmd = `${FFMPEG} -y -i ${q(basePath)} -i ${q(overlayPath)} -filter_complex "overlay=${xy}" -c:v libx264 -crf 23 -preset medium -c:a copy -movflags +faststart ${q(out)}`;
  return run(cmd, out);
}

// ---------------------------------------------------------------------------
// CLI
// ---------------------------------------------------------------------------

if ((() => { try { return import.meta.url === `file://${realpathSync(process.argv[1])}`; } catch { return false; } })()) {
  const [, , cmd, ...args] = process.argv;

  function die(msg: string): never {
    console.error(msg);
    process.exit(1);
  }

  function printResult(r: Result): void {
    if (r.ok) {
      if (r.path) console.log(`OK → ${r.path} (${r.durationMs}ms)`);
      if (r.output && !r.path) console.log(r.output);
    } else {
      console.error(`FAIL (${r.durationMs}ms): ${r.error}`);
      process.exit(1);
    }
  }

  if (!cmd || cmd === "help") {
    console.log(`snappy-ffmpeg CLI — local ffmpeg primitive layer

  probe <path>                          Media metadata as JSON
  trim <path> <start> <end>             Fast trim (keyframe-aligned)
  resize <path> <16:9|9:16|1:1>         Letterbox resize
  compress <path>                       H.264 web compression (crf=23)
  extract-audio <path> [m4a|mp3|wav]    Extract audio track
  burn-subs <path> <subs-path>          Burn SRT/ASS subtitles
  thumbnail <path> [timestamp]          Extract frame as JPG
  loudnorm <path>                       EBU R128 loudness normalization
  concat <path1> <path2> [path3...]     Concatenate files
  overlay <base> <overlay> [position]   PiP / watermark overlay
  help                                  This message`);
    process.exit(0);
  }

  if (cmd === "probe") {
    if (!args[0]) die("Usage: probe <path>");
    const r = probe(args[0]);
    if (r.ok && (r as any).info) {
      const { raw, ...summary } = (r as any).info;
      console.log(JSON.stringify(summary, null, 2));
    } else {
      printResult(r);
    }
  } else if (cmd === "trim") {
    if (args.length < 3) die("Usage: trim <path> <start> <end>");
    printResult(trim(args[0], args[1], args[2]));
  } else if (cmd === "resize") {
    if (args.length < 2) die("Usage: resize <path> <16:9|9:16|1:1>");
    printResult(resizeLocal(args[0], args[1] as AspectFormat));
  } else if (cmd === "compress") {
    if (!args[0]) die("Usage: compress <path>");
    printResult(compress(args[0]));
  } else if (cmd === "extract-audio") {
    if (!args[0]) die("Usage: extract-audio <path> [m4a|mp3|wav]");
    printResult(extractAudioLocal(args[0], (args[1] as AudioFormat) || undefined));
  } else if (cmd === "burn-subs") {
    if (args.length < 2) die("Usage: burn-subs <path> <subs-path>");
    printResult(burnSubs(args[0], args[1]));
  } else if (cmd === "thumbnail") {
    if (!args[0]) die("Usage: thumbnail <path> [timestamp]");
    printResult(thumbnail(args[0], args[1] || undefined));
  } else if (cmd === "loudnorm") {
    if (!args[0]) die("Usage: loudnorm <path>");
    printResult(loudnorm(args[0]));
  } else if (cmd === "concat") {
    if (args.length < 2) die("Usage: concat <path1> <path2> [path3...]");
    const out = tmpPath("concat", extname(args[0]) || ".mp4");
    printResult(concat(args, out));
  } else if (cmd === "overlay") {
    if (args.length < 2) die("Usage: overlay <base> <overlay> [position]");
    printResult(overlay(args[0], args[1], (args[2] as OverlayPosition) || undefined));
  } else {
    die(`Unknown command: ${cmd}. Run 'npx tsx api.ts help' for usage.`);
  }
}

scripts- helper scripts it can run

prose-only skill - 1 inline code block live in SKILL.md above (no state/bin/ sidecar yet).

how we check it- the checks, plus the last 10 runs

rubric shape schema-shape check (no inline rubric)
recent mean 1.00 · 10 runs actor/auditor: unverifiable
deps none declared
timestamp verb score primary_issue artifact
2026-04-25 04:11Z - 1.00 - -
2026-04-21 15:59Z - 1.00 - -
2026-04-21 15:56Z - 1.00 - -
2026-04-21 03:53Z - 1.00 - -
2026-04-25 04:11Z - 1.00 - -
2026-04-21 15:59Z - 1.00 - -
2026-04-21 15:56Z - 1.00 - -
2026-04-21 03:53Z - 1.00 - -
2026-04-25 04:11Z - 1.00 - -
2026-04-21 15:59Z - 1.00 - -