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snappy-run

Runs a specific helper right now, on demand.
description: "Triggers on prompt mention of 'snappy-run' or '/snappy-run'."
personal 2 files 10 recent evals

What it does for you

Runs a specific helper right now, on demand.

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

eval modeauto-shape
categorySystem
stages2

what's inside - the parts that make up a skill 2/4 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/snappy-run/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/snappy-run.ts not present
code the skill can run
Optional. Many skills are just words and need no code at all.
Scripts
state/bin/snappy-run/ not present
helper scripts
Optional. Added when a skill has a few commands to run.
Loader
state/skills/snappy-run/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
agent_spawned_correctly
deterministic
Verify `ps -p <PID>` returns 0 for the reported PID 1 second after skill execution and a log file was created at `/tmp/snappy-run-<label>-<ts>.log` or the `live_log` path if specified.
notification_logged
deterministic
Verify `state/log/notify.ndjson` contains an entry `{ts, label, kind:\"run-start\", note:\"manual via /snappy-run pid=<pid>\"}` matching the executed agent and PID.
operator_report_complete
judge
The skill's output to the operator includes the agent's pretty name, PID, `tail -f` command, and `ps -p <pid>` check.
eval_log_written
deterministic
Verify `state/log/evals.ndjson` contains an entry `{ts, skill:\"snappy-run\", verb:\"run\", score: 1, label: <agent label>}` if agent spawn was successful.

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.

makes the work The worker
inferred
prose skill — from the run command
No worker is named directly, so the command this skill runs is treated as the worker.
checks the work The reviewer
inferred
shape gate an automatic check
The check is an automatic pass or fail on the shape of the result, run separately from the work itself.
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/evals.ndjson unknown runs
Every run is written down here, so the next time this skill is used it already knows how the last runs went.
Critical rules the things this skill must not get wrong
  1. NEVER run cron agents inline (bash state/bin/<agent>) — Claude Code's bash tool blocks until completion; cron agents run for minutes; a 5-minute block looks like a hang
  2. ALWAYS spawn with nohup ... & and capture the PID — agents must survive Claude Code session end
  3. Lockfile collision is SUCCESS, not failure — /tmp/claude-cron-<label>.lock collisions return immediately as a no-op; the agent IS running, score it 1 (filing as failed spawn pollutes the eval log)
  4. ALWAYS read live_log (field 7) from state/bin/byline/agents.sh — do not assume /tmp/snappy-run-<label>-<ts>.log. Examples: inbox-sweep → $HOME/.claude/logs/linkedin-sweep.log. If field 7 is non-empty, tail THAT
  5. ALWAYS log a notify row + eval row after spawn — without these, byline can't see manual runs and the PID loop can't credit the skill

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- step by step

1 generator
invoke
prose skill — follow steps in `state/skills/snappy-run/SKILL.md`
2 data
eval log
`state/log/evals.ndjson` (skill: "snappy-run", verb: "run")

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

snappy-run

One job: fire a snappy-os agent immediately, on demand. The byline points the operator here when an agent is overdue or broken.

Usage

/snappy-run <abbr-or-name>

<abbr-or-name> matches either the 3-letter abbr (swp, brk, fix, ...) or the pretty name (inbox-sweep, breaker, fixer, ...) from state/bin/byline/agents.sh.

If invoked with no argument, list every agent + its abbr + cadence so the operator can pick.

Steps

  1. Source ~/projects/snappy-os/state/bin/byline/agents.sh to load the AGENTS

catalog.

  1. Match the argument case-insensitively against abbr (field 1) or pretty

(field 3). On no match, list all 12 agents and exit.

  1. Extract run_cmd (field 5) and spawn it in the background with output

redirected to /tmp/snappy-run-<label>-<ts>.log. Use nohup ... & and capture the PID.

  1. Append a row to state/log/notify.ndjson:

{ts, label, kind:"run-start", note:"manual via /snappy-run pid=<pid>"}.

  1. Report back to the operator:
  • the agent that was launched (emoji + pretty name)
  • the PID
  • the tail command they can paste: tail -f /tmp/snappy-run-<label>-<ts>.log
  • a one-liner to check if it's still alive: ps -p <pid>
  1. Log eval row to state/log/evals.ndjson:

{ts, skill:"snappy-run", verb:"run", score: 1 if spawn-succeeded else 0, label}

Why

The byline names overdue/broken agents but the byline can't run anything - it's read-only. Operator needs a one-prompt verb to fire the agent without leaving Claude Code or memorizing 12 different cron paths.

Eval

Shape-gate:

  • Spawn returns a non-empty PID.
  • Background process is alive 1s after spawn (ps -p $pid exits 0).
  • /tmp/snappy-run-*.log was created.

Score = 1 if all three pass else 0. Append to state/log/evals.ndjson with skill: "snappy-run", verb: "run", label: <agent label>.

Gotchas

  • Do NOT run the agent inline (bash ... blocking) - Claude Code waits for the

bash tool to return, but cron agents run for minutes. Always background.

  • Use nohup so the process survives Claude Code session end.
  • Some agents have their own lockfile (/tmp/claude-cron-<label>.lock); a

duplicate spawn is a no-op, not an error. Treat that as score=1.

  • inbox-sweep writes to $HOME/.claude/logs/linkedin-sweep.log not

/tmp/...; the catalog's live_log field (7th column) tells you which. Tail that one if non-empty.

Rubric

criteria:
  - name: agent_spawned_correctly
    kind: deterministic
    check: "Verify `ps -p <PID>` returns 0 for the reported PID 1 second after skill execution and a log file was created at `/tmp/snappy-run-<label>-<ts>.log` or the `live_log` path if specified."
  - name: notification_logged
    kind: deterministic
    check: "Verify `state/log/notify.ndjson` contains an entry `{ts, label, kind:\"run-start\", note:\"manual via /snappy-run pid=<pid>\"}` matching the executed agent and PID."
  - name: operator_report_complete
    kind: judge
    check: "The skill's output to the operator includes the agent's pretty name, PID, `tail -f` command, and `ps -p <pid>` check."
  - name: eval_log_written
    kind: deterministic
    check: "Verify `state/log/evals.ndjson` contains an entry `{ts, skill:\"snappy-run\", verb:\"run\", score: 1, label: <agent label>}` if agent spawn was successful."

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

snappy-run - loader

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

Critical Rules

  • NEVER run cron agents inline (bash state/bin/<agent>) - Claude Code's bash tool blocks until completion; cron agents run for minutes; a 5-minute block looks like a hang
  • ALWAYS spawn with nohup ... & and capture the PID - agents must survive Claude Code session end
  • Lockfile collision is SUCCESS, not failure - /tmp/claude-cron-<label>.lock collisions return immediately as a no-op; the agent IS running, score it 1 (filing as failed spawn pollutes the eval log)
  • ALWAYS read live_log (field 7) from state/bin/byline/agents.sh - do not assume /tmp/snappy-run-<label>-<ts>.log. Examples: inbox-sweep$HOME/.claude/logs/linkedin-sweep.log. If field 7 is non-empty, tail THAT
  • ALWAYS log a notify row + eval row after spawn - without these, byline can't see manual runs and the PID loop can't credit the skill

Commands

| ui dashboard | state/skills/snappy-run/resources/ui.openui | |invoke: prose skill - follow steps in state/skills/snappy-run/SKILL.md |catalog: state/bin/byline/agents.sh (source it, match arg case-insensitively against abbr field 1 or pretty field 3) |notify log: state/log/notify.ndjson - append {ts, label, kind:"run-start", note:"manual via /snappy-run pid=<pid>"} |eval log: state/log/evals.ndjson (skill: "snappy-run", verb: "run") |append helper: state/lib/log.ts (TS) or printf '%s\n' '<json>' >> <file> (shell)

OpenUI Resource

  • Skill-owned OpenUI Lang resource: state/skills/snappy-run/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

  • Inline bash instead of nohup ... & looks like a hang to the operator
  • Defaulting to /tmp/snappy-run-<label>-<ts>.log for inbox-sweep is wrong - agent writes to $HOME/.claude/logs/linkedin-sweep.log; operator tails the wrong file and sees nothing
  • Skipping the notify+eval log rows means the byline shows the agent as overdue even though you just ran it

Self-Test

An agent reading this should correctly:

  1. [ ] Always background with nohup ... & and never block on the agent process?
  2. [ ] Score a lockfile-collision spawn as success (1), not failure?
  3. [ ] Read field 7 of the catalog to determine the correct tail target?
  4. [ ] Append to BOTH notify.ndjson and evals.ndjson after every spawn?

Self-report

If this loader fell short, append a line:

echo "[$(date -u +%FT%TZ)] snappy-run: <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)] snappy-run: <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

⚠ no api.ts - this skill has no typed action surface

scripts- helper scripts it can run

prose-only skill - 2 inline code blocks live in SKILL.md above (no state/bin/ sidecar yet).

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

rubric auto-shape no rubric declared
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 15:58Z - 1.00 - -
2026-04-21 15:57Z - 1.00 - -
2026-04-21 03:53Z - 1.00 - -
2026-04-20 04:12Z - 1.00 - -
2026-04-20 03:48Z - 1.00 - -
2026-04-20 03:44Z - 1.00 - -
2026-04-20 03:43Z - 1.00 - -
2026-04-20 03:42Z - 1.00 - -
2026-04-20 02:12Z - 1.00 - -