POST http://127.0.0.1:3147/voice/speak` — .md file to compare - side-by-side diff against voice
voice
description: "Triggers on prompt mention of 'voice'."
What it does for you
Turns your text into natural, expressive spoken audio.
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.
For developers how this skill is built, graded, and how it runs
at a glance- the short version
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.
state/skills/voice/SKILL.md
present
state/lib/voice.ts
present
state/bin/voice/
not present
state/skills/voice/AGENTS.md
present
how it runs - the shared frame every skill uses 3/5 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.
state/log/evals.ndjson - TTS calls bill per character. POST http://127.0.0.1:3147/voice/speak hits
- state/lib/voice.ts is the tone-gate / citation-gate library — NOT the
- Without OPENROUTER_API_KEY the enhancer silently skips and the audio
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.
- Loading feedback rows…
how the work flows- step by step
what this step does
ELEVENLABS_API_KEY=sk_...
what this step does
curl -sS -X POST http://127.0.0.1:3147/voice/speak \
what this step does
what this step does
SKILL.md- the skill, written out in plain English
voice
Three-layer pipeline; the realism is from layer 2:
raw text → Gemini-3-Flash (tag enhancer) → ElevenLabs eleven_v3 → audio/mpeg
Without enhancement you get flat TTS. Without eleven_v3 the audio tags get spoken aloud as "open bracket happy close bracket" instead of being interpreted.
Ported from Robert's Sloane × ElevenLabs recipe. The recipe is the long-form reference; this skill is the per-turn loader.
Endpoint
POST http://127.0.0.1:3147/voice/speak
Body: {
"text": "raw text",
"voiceId"?: "cgSgspJ2msm6clMCkdW9", // default: Jessica (warm British)
"modelId"?: "eleven_v3", // default: eleven_v3 (tags work)
"tone"?: "professional", // professional|sultry|hype|calm
"length"?: "normal", // minimal|short|normal|verbose
"enhance"?: true, // default true; false bypasses Gemini
"voiceSettings"?: { ... } // overrides tone preset if given
}
Response: audio/mpeg
Headers: x-snappy-voice-enhanced: 0|1, x-snappy-voice-tone, x-snappy-voice-id
Steps
1. Scope - no side effects
Decide tone + length based on the message's intent, not just content:
- professional for status updates, build results, neutral notifications
- sultry for one-off flirty/atmospheric moments (use sparingly)
- hype for shipping news, deploy success, big wins
- calm for narration, recap, end-of-session summary
Length:
- minimal - 1-3 words ("Done.")
- short - under 10 words
- normal - 1-2 sentences (default)
- verbose - 2-3 sentences, conversational
2. Gate
Two creds must exist in .env.cache:
ELEVENLABS_API_KEY=sk_...
OPENROUTER_API_KEY=sk-or-v1-... # for the enhancement step
Without ELEVENLABS_API_KEY → 503. Without OPENROUTER_API_KEY → enhancement silently skips, raw text goes to ElevenLabs (still works, just sounds flatter).
3. Act
curl -sS -X POST http://127.0.0.1:3147/voice/speak \
-H "Content-Type: application/json" \
-d '{"text":"the build is green","tone":"professional","length":"short"}' \
-o /tmp/out.mp3 && afplay /tmp/out.mp3
In the snappy-shell SwiftUI app: DataClient.voiceSpeak(text:) POSTs and returns the bytes. SpeechPlayer.play(_:) hands them to AVAudioPlayer with a tmp-file fallback for MP3 ADTS streams the in-memory init refuses.
4. Log + eval
The endpoint writes one row per call to state/log/voice-speak.ndjson:
{
"ts": "2026-04-25T22:57:24Z",
"voiceId": "cgSgspJ2msm6clMCkdW9",
"modelId": "eleven_v3",
"tone": "professional",
"length": "short",
"enhanced": true,
"raw_chars": 41,
"chars": 65,
"durationMs": 3564,
"bytes": 88233,
"ok": true
}
Score 1.0 if enhanced: true AND bytes > 5000 (real audio). Score 0.5 if enhanced: false (raw fallback fired). Score 0.0 if ok: false.
Voice IDs (recipe §3)
| Slug | Voice ID | Character |
|---|---|---|
| jessica (default) | cgSgspJ2msm6clMCkdW9 | Warm, British |
| rachel | 21m00Tcm4TlvDq8ikWAM | Clear, professional |
| domi | AZnzlk1XvdvUeBnXmlld | Confident, assertive |
| bella | EXAVITQu4vr4xnSDxMaL | Soft, gentle |
| charlotte | XB0fDUnXU5powFXDhCwa | Seductive, smooth |
| serena | pMsXgVXv3BLzUgSXRplE | Soft, pleasant |
| grace | oWAxZDx7w5VEj9dCyTzz | Southern, warm |
Browse more: https://elevenlabs.io/voice-library
Tone presets (recipe §2)
| Tone | stability | style | similarity_boost |
|---|---|---|---|
| professional | 0.5 | 0.0 | 0.75 |
| sultry | 0.0 | 0.4 | 0.85 |
| hype | 0.0 | 0.5 | 0.75 |
| calm | 1.0 | 0.0 | 0.7 |
use_speaker_boost: true always.
Audio tags (recipe §5)
Use 1-3 emotion tags + at most 1 non-verbal sound + sparing timing tags.
Emotion: [happy] [sad] [angry] [excited] [confident] [playful] [serious] [whispered] [tender] [cheerful] [concerned] [amused]
Timing: [beat] (comedy), [dramatic pause] (tension), [quick], [slow]
Non-verbal: [sigh] [chuckle] [laughs] [satisfied sigh]
AVOID: environmental tags [rain] [thunder] [footsteps] - cause artifacts.
Known Pitfalls
- Tags spoken aloud = wrong model. Verify
modelId: "eleven_v3". - Voice sounds flat = enhancer skipped. Check
x-snappy-voice-enhanced: 1
in response headers; check OPENROUTER_API_KEY is in .env.cache.
- Sultry/hype sounds same as professional =
stabilitynot lowered.
TONE_PRESETS in the server handle this, but caller-supplied voiceSettings overrides - don't pass voiceSettings unless you mean it.
- No audio plays in the macOS shell = AVAudioPlayer choking on MP3 ADTS.
SpeechPlayer's tmp-file fallback handles this - verify the tmp file gets written.
- Enhancement adds latency (~3s round trip vs ~1s raw). For
status-bar-style notifications use enhance: false.
Self-Test
An agent reading this should correctly:
- [ ] Default to Jessica voice + eleven_v3 model + professional tone
- [ ] Pick tone based on message intent, not just content
- [ ] Bypass enhancement (
enhance: false) when latency matters more than realism - [ ] Read the response header
x-snappy-voice-enhancedto verify enhancement fired
Self-report
If this loader fell short, append a line:
echo "[$(date -u +%FT%TZ)] voice: <what was missing>" >> state/log/loader-feedback.logAGENTS.md- what the AI loads when this skill comes up
voice - loader
Per-turn rules for the voice skill. Full reference: state/skills/voice/SKILL.md. Do not skip these.
Critical Rules
- TTS calls bill per character.
POST http://127.0.0.1:3147/voice/speakhits
ElevenLabs (and OpenRouter for the enhancer). For scope-only / dry-run, do NOT invoke the endpoint - run a shape check instead (verify SKILL.md frontmatter, AGENTS.md, state/lib/voice.ts import) and score with eval_mode=shape. Real audio only when the user explicitly confirms apply: true.
state/lib/voice.tsis the tone-gate / citation-gate library - NOT the
TTS client. Don't expect a speak() export; use checkTone() / requireCitations(). The TTS pipeline lives behind the local HTTP server.
- Without
OPENROUTER_API_KEYthe enhancer silently skips and the audio
sounds flat. Verify the response header x-snappy-voice-enhanced: 1 whenever realism matters.
Commands
| ui dashboard | state/skills/voice/resources/ui.openui | |invoke: POST http://127.0.0.1:3147/voice/speak - see state/skills/voice/SKILL.md for the body schema. Defaults: voiceId=Jessica (cgSgspJ2msm6clMCkdW9), modelId=eleven_v3, tone=professional, enhance=true. |tone-gate lib: state/lib/voice.ts (checkTone(text), requireCitations(draft) - pure, no network, safe to import for shape checks) |reference: state/skills/voice/SKILL.md |eval log: state/log/evals.ndjson (skill: "voice"); per-call telemetry also at state/log/voice-speak.ndjson
Self-Test
An agent reading this should correctly:
- [ ] Know which lib/bin artifact backs this skill (or that it is prose-only)
- [ ] Know what to write to
state/log/evals.ndjsonafter invoking - [ ] Know the eval mode (auto / shape / manual) from the .md frontmatter
Self-report
If this loader fell short, append a line:
echo "[$(date -u +%FT%TZ)] voice: <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
LOGGEDis 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)] voice: <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.
OpenUI Resource
- Skill-owned OpenUI Lang resource:
state/skills/voice/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: brandedin SKILL.md only for deliberate platform or client visuals.
api.ts- the code it can call
#!/usr/bin/env npx tsx
/**
* state/lib/voice.ts -- Tone gate and citation gate for snappy-os.
*
* Ported from snappy-positioning/api.ts (kernel). Frozen snapshot —
* reconcile manually at end-of-port comparison, not mid-week.
*
* checkTone(text) — banned phrases + rhythm-slop regex + em-dash gate.
* requireCitations(draft) — forces mining pods to stitch verbatim with
* [source: mtg ~mm:ss] tags and wrap connective tissue in
* <connective>...</connective>. ≤35% connective ratio.
*
* This is the eval source for content-polish and any mining skill.
* If this file drifts from the kernel copy, evals drift — do not edit
* casually. See program.md §Voice.
*/
const BANNED_PHRASES: string[] = [
"10x faster",
"10x developer",
"100x speed",
"in minutes",
"the operating system for",
"the X for Y",
"without the Z",
"before you Q",
"at the intersection of",
"one-stop shop",
"revolutionize",
"revolutionary",
"transform",
"unleash",
"unlock",
"unlock the power of",
"supercharge",
"empower",
"empowering",
"leverage",
"synergy",
"game changer",
"game-changing",
"ultimate",
"cutting edge",
"bleeding edge",
"next-gen",
"next generation",
"seamless",
"seamlessly",
"effortless",
"effortlessly",
"AI-powered",
"AI-native",
"agentic-first",
"founder-led",
"ship-ready",
"vibe coding",
"Snappy is",
"feel confident",
"feel in control",
"feel unstuck",
"my stack is opinionated",
"i dog-food everything",
"clear boxes, not black boxes",
"delve",
"showcase",
"noteworthy",
"multifaceted",
"tapestry",
"beacon",
"meticulous",
"intricate",
"commendable",
"paramount",
"commence",
"utilize",
"robust",
"streamline",
"harness",
"illuminate",
"facilitate",
"bolster",
"underscore",
"pivotal",
"realm",
"foster",
"landscape",
"paradigm",
"ecosystem",
"spearhead",
"groundbreaking",
"transformative",
"game-changer",
"elevate",
"deep dive",
"unpack",
"in today's fast-paced",
"it's worth noting",
"here's where it gets interesting",
"here's the kicker",
"let's break this down",
"let's unpack",
"the truth is simple",
"think of it as",
"imagine a world where",
"in conclusion",
"to sum up",
"studies show",
"experts say",
"it goes without saying",
"importantly,",
"interestingly,",
"notably,",
"furthermore,",
"moreover,",
"additionally,",
"despite its challenges",
"i'm excited to announce",
"without further ado",
"agree?",
"thoughts?",
"at its core",
"whether you're a",
"whether you're an",
"the catch?",
"your ideas, ai's polish",
];
const RHYTHM_PATTERNS: Array<[RegExp, string]> = [
[/\bnot\s+\w+,\s+not\s+\w+\s*[—-]/i, "Not X, not Y — Z (rhetorical negation trifecta)"],
[
/\bif\s+you're\s+(?:a|an)\s+\w+\s+(?:founder|dev|team|builder|engineer)[^.]*stuck\s+between\b/i,
"'If you're a [X] stuck between' (AI sales opener)",
],
[
/\bon\s+your\s+repo,\s+on\s+your\s+\w+\s+problem\b/i,
"'on your repo, on your real problem' (parallel-clause slop)",
],
[/—\s+that's\s+how\s+you\b/i, "'— that's how you' (AI didactic dash)"],
[/\bnever\s+\w+[,.].{0,40}\balways\b/i, "Never X, always Y (false-symmetry rule)"],
[
/\bthe\s+real\s+\w+\s+is\s+(?:simple|that|this)\b/i,
"'The real [X] is [reveal]' (AI reveal framing)",
],
[/\bhere's\s+the\s+thing\b/i, "'Here's the thing' (AI pivot)"],
[/\bat\s+the\s+end\s+of\s+the\s+day\b/i, "'At the end of the day' (filler)"],
[/—/, "em dash — dead AI tell (voice: use commas/periods or restructure)"],
[/–/, "en dash — dead AI tell (voice: use commas/periods or restructure)"],
[
/\b(agree|thoughts|right\?|make sense)\?\s*$/im,
"engagement-bait closer ('Agree?' / 'Thoughts?') — LinkedIn slop tell",
],
[
/\bwhether you're (?:a|an)\s+\w+[,\s]+(?:a|an)?\s*\w+[,\s]+or\s+(?:a|an)?\s*\w+/i,
"'Whether you're X, Y, or Z' template opener",
],
[
/\b\d{2,}\+?(?:\s+[\w-]+){0,3}\s+(endpoints|tools|clients|projects|integrations|playbooks|skills|apis|deploys|agents|workflows|automations)\b/i,
"author-scoreboard count — numbers-about-author are decoys",
],
[
/(?:^|\n)\s*(?:the catch|the twist|the kicker|the surprise|the result|the reality)\?\s*\n/i,
"mini-question intro fragment",
],
[
/(?:^|\n)\s*(?:I was |I noticed |Last (?:week|month|year) I |I had a session |I caught an? |I watched an? |I spent |I realized )/i,
"personal story opener — lead with insight, not diary",
],
];
export function getBannedPhrases(): string[] {
return [...BANNED_PHRASES];
}
export function checkTone(text: string): { pass: boolean; violations: string[] } {
const cleaned = text
.replace(/\[source:[^\]]*\]/gi, "")
.replace(/<connective>[\s\S]*?<\/connective>/gi, "");
const lower = cleaned.toLowerCase();
const violations: string[] = [];
for (const phrase of BANNED_PHRASES) {
if (lower.includes(phrase.toLowerCase())) violations.push(phrase);
}
const nxMatch = text.match(/\b\d+x\b/gi);
if (nxMatch) {
for (const m of nxMatch) {
if (!violations.includes(m)) violations.push(`${m} (Nx claim)`);
}
}
for (const [re, label] of RHYTHM_PATTERNS) {
if (re.test(text)) violations.push(label);
}
return { pass: violations.length === 0, violations };
}
export function getToneGuide(): {
oneLiner: string;
shortTagline: string;
longTagline: string;
tuningFork: string[];
principles: string[];
doRules: string[];
dontRules: string[];
} {
return {
oneLiner: "Snappy helps developers build and control agents that ship real systems.",
shortTagline: "We build businesses, not demos.",
longTagline:
"Faster than vibe coding. Private AI tools to ship real systems while others prompt. We build businesses, not demos.",
tuningFork: [
"You built it. You're stuck. Let's fix that, live on your screen.",
"We open your codebase together, map the architecture, and start fixing what's blocking you.",
"I burn the hours so you don't.",
"Build and control agents to get huge results.",
],
principles: [
"Lead with what happens, not what Snappy is.",
"First person. 'I' by default. 'We' only when literally true.",
"Builder-to-builder. Assume the reader has shipped real software.",
"Earn every adjective. If you can't defend it on a call, delete it.",
"The four reference sentences are the tuning fork.",
],
doRules: [
"Write first person. 'I', 'you', 'we built'. Never marketing third person.",
"Be direct. State the problem, state the fix, stop talking.",
"Builder-to-builder. Assume the reader has shipped real software.",
"Lead with the work. Screens, repos, agents running, commits landing.",
"Short sentences beat clever sentences.",
"Name the tool when it matters -- but the tool is never the hero. The outcome is.",
"Earn every adjective. If you can't defend it on a call, delete it.",
],
dontRules: [
"No hype. No adjective stacking.",
"No vibe coding language as our own. We build and control.",
"No false novelty.",
"No fake urgency.",
"No third-person hero narration about Robert.",
"No personification of Snappy.",
"No 'MCP integration' or 'Xano MCP' as the headline.",
],
};
}
export type FlowProfile = {
name: string;
source: string;
stdev: number;
rolling5: number;
lowVarianceCeiling: number;
shortFloor: number;
longFloor: number;
};
export const FLOW_PROFILES: Record<string, FlowProfile> = {
balanced: {
name: "balanced",
source:
"writer-agnostic telegram detector; loose floors that catch metronome rhythm without prescribing any one stylist",
stdev: 6.0,
rolling5: 5.5,
lowVarianceCeiling: 0.4,
shortFloor: 0.08,
longFloor: 0.15,
},
pg: {
name: "pg",
source:
"Paul Graham corpus, 30377 sentences across 215 essays (HuggingFace sgoel9/paul_graham_essays, April 2026). Measured: stdev 9.79, rolling5 8.42, lowvar 18%, short 15.1%, long 27.9%",
stdev: 7.5,
rolling5: 7.0,
lowVarianceCeiling: 0.3,
shortFloor: 0.1,
longFloor: 0.18,
},
};
export function checkFlow(
text: string,
opts: { minSentences?: number; profile?: string } = {},
): {
pass: boolean;
profile: string;
violations: string[];
stats: {
sentences: number;
meanLength: number;
medianLength: number;
stdev: number;
rolling5Stdev: number;
lowVarianceWindowRatio: number;
shortRatio: number;
longRatio: number;
};
} {
const minSentences = opts.minSentences ?? 10;
const profileName = opts.profile ?? "balanced";
const profile = FLOW_PROFILES[profileName];
if (!profile) {
throw new Error(
`[checkFlow] unknown profile '${profileName}'. Available: ${Object.keys(FLOW_PROFILES).join(", ")}`,
);
}
const stripped = text
.replace(/```[\s\S]*?```/g, "")
.replace(/^#.*$/gm, "")
.replace(/^---[\s\S]*?---/m, "")
.replace(/<\/?connective>/gi, "")
.replace(/\[source:[^\]]*\]/gi, "");
const sentences = splitSentences(stripped);
const lengths = sentences.map((s) => s.split(/\s+/).filter(Boolean).length);
const zeroStats = {
sentences: lengths.length,
meanLength: 0,
medianLength: 0,
stdev: 0,
rolling5Stdev: 0,
lowVarianceWindowRatio: 0,
shortRatio: 0,
longRatio: 0,
};
if (lengths.length < minSentences) {
return { pass: true, profile: profileName, violations: [], stats: zeroStats };
}
const mean = lengths.reduce((a, b) => a + b, 0) / lengths.length;
const sorted = [...lengths].sort((a, b) => a - b);
const median = sorted[Math.floor(sorted.length / 2)];
const variance = lengths.reduce((a, b) => a + (b - mean) ** 2, 0) / lengths.length;
const stdev = Math.sqrt(variance);
const windowStdevs: number[] = [];
for (let i = 0; i + 5 <= lengths.length; i++) {
const w = lengths.slice(i, i + 5);
const wMean = w.reduce((a, b) => a + b, 0) / 5;
const wVar = w.reduce((a, b) => a + (b - wMean) ** 2, 0) / 5;
windowStdevs.push(Math.sqrt(wVar));
}
const rolling5Stdev =
windowStdevs.length === 0
? stdev
: windowStdevs.reduce((a, b) => a + b, 0) / windowStdevs.length;
const lowVarianceWindows = windowStdevs.filter((s) => s < 5).length;
const lowVarianceWindowRatio =
windowStdevs.length === 0 ? 0 : lowVarianceWindows / windowStdevs.length;
const shortRatio = lengths.filter((l) => l < 8).length / lengths.length;
const longRatio = lengths.filter((l) => l > 20).length / lengths.length;
const violations: string[] = [];
if (stdev < profile.stdev) {
violations.push(
`stdev ${stdev.toFixed(1)} < ${profile.stdev} floor (profile: ${profile.name}). Vary sentence length more.`,
);
}
if (rolling5Stdev < profile.rolling5) {
violations.push(
`rolling-5 window stdev ${rolling5Stdev.toFixed(1)} < ${profile.rolling5} floor (profile: ${profile.name}). Metronome rhythm; break it up.`,
);
}
if (lowVarianceWindowRatio > profile.lowVarianceCeiling) {
violations.push(
`${(lowVarianceWindowRatio * 100).toFixed(0)}% of 5-sentence windows have stdev<5, ceiling ${(profile.lowVarianceCeiling * 100).toFixed(0)}% (profile: ${profile.name}). Too many flat runs.`,
);
}
if (shortRatio < profile.shortFloor) {
violations.push(
`only ${(shortRatio * 100).toFixed(0)}% of sentences are under 8 words, floor ${(profile.shortFloor * 100).toFixed(0)}% (profile: ${profile.name}). Add short punches for emphasis.`,
);
}
if (longRatio < profile.longFloor) {
violations.push(
`only ${(longRatio * 100).toFixed(0)}% of sentences are over 20 words, floor ${(profile.longFloor * 100).toFixed(0)}% (profile: ${profile.name}). Add flowing clause-joined sentences.`,
);
}
return {
pass: violations.length === 0,
profile: profileName,
violations,
stats: {
sentences: lengths.length,
meanLength: Math.round(mean * 10) / 10,
medianLength: median,
stdev: Math.round(stdev * 100) / 100,
rolling5Stdev: Math.round(rolling5Stdev * 100) / 100,
lowVarianceWindowRatio: Math.round(lowVarianceWindowRatio * 100) / 100,
shortRatio: Math.round(shortRatio * 100) / 100,
longRatio: Math.round(longRatio * 100) / 100,
},
};
}
function splitSentences(text: string): string[] {
return text
.split(/(?<=[.!?])\s+/)
.map((s) => s.trim())
.filter((s) => s.length > 0 && /[A-Za-z]/.test(s));
}
export function requireCitations(draft: string): {
pass: boolean;
totalSentences: number;
citedSentences: number;
connectiveSentences: number;
uncitedSentences: string[];
connectiveRatio: number;
reasons: string[];
} {
const stripped = draft
.replace(/```[\s\S]*?```/g, "")
.replace(/^#.*$/gm, "")
.replace(/^---.*$/gm, "");
const connectiveMatches = stripped.match(/<connective>[\s\S]*?<\/connective>/gi) || [];
const connectiveSentences = connectiveMatches.reduce((n, chunk) => {
const inner = chunk.replace(/<\/?connective>/gi, "");
return n + splitSentences(inner).length;
}, 0);
const withoutConnective = stripped.replace(/<connective>[\s\S]*?<\/connective>/gi, "");
const sentences = splitSentences(withoutConnective);
const citeRe = /\[source:\s*[^\]]+?~\s*\d{1,3}:\d{2}[^\]]*\]/i;
const cited: string[] = [];
const uncited: string[] = [];
for (const s of sentences) {
if (citeRe.test(s)) cited.push(s);
else uncited.push(s);
}
const totalSentences = sentences.length + connectiveSentences;
const citedSentences = cited.length;
const connectiveRatio = totalSentences === 0 ? 0 : connectiveSentences / totalSentences;
const reasons: string[] = [];
if (uncited.length > 0) {
reasons.push(
`${uncited.length} prose sentence(s) lack [source: ...~mm:ss] citation and are not wrapped in <connective>...`,
);
}
if (connectiveRatio > 0.35) {
reasons.push(
`connective tissue ratio ${(connectiveRatio * 100).toFixed(0)}% exceeds 35% budget`,
);
}
return {
pass: reasons.length === 0,
totalSentences,
citedSentences,
connectiveSentences,
uncitedSentences: uncited,
connectiveRatio,
reasons,
};
}
scripts- helper scripts it can run
prose-only skill - 6 inline code blocks live in SKILL.md above (no state/bin/ sidecar yet).
how we check it- the checks, plus the last 9 runs
| timestamp | verb | score | primary_issue | artifact |
|---|---|---|---|---|
| 2026-04-30 21:02Z | - | 0.60 | - | - |
| 2026-04-30 20:58Z | - | 0.50 | - | - |
| 2026-04-27 16:54Z | - | 1.00 | - | - |
| 2026-04-30 21:02Z | - | 0.60 | - | - |
| 2026-04-30 20:58Z | - | 0.50 | - | - |
| 2026-04-27 16:54Z | - | 1.00 | - | - |
| 2026-04-30 21:02Z | - | 0.60 | - | - |
| 2026-04-30 20:58Z | - | 0.50 | - | - |
| 2026-04-27 16:54Z | - | 1.00 | - | - |