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snappy-stop

Stops a running helper for good.
description: "Triggers on prompt mention of 'snappy-stop'."
personal 2 files

What it does for you

Stops a running helper for good.

What it produces

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

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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
categoryOps
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-stop/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-stop.ts not present
code the skill can run
Optional. Many skills are just words and need no code at all.
Scripts
state/bin/snappy-stop/ not present
helper scripts
Optional. Added when a skill has a few commands to run.
Loader
state/skills/snappy-stop/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 3 criteria · 2 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_json_deleted
deterministic
The file 'state/agents/<name>.json' must not exist after the skill execution.
stop_log_entry_added
deterministic
The 'state/log/agents.ndjson' file must contain a new JSON object with 'action: \"stop\"' and 'id: <name>'.
operator_message_completeness
judge
The skill's output message to the operator must inform that the agent is stopped, how many ticks it ran, and the location of its run logs.

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
see `state/skills/snappy-stop/SKILL.md` Steps 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. A tick that is currently in-flight (lockfile present) continues to

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
see `state/skills/snappy-stop/SKILL.md` Steps section
2 data
eval log
`state/log/evals.ndjson` (skill: "snappy-stop")

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

snappy-stop

One job: stop the named background agent set by /snappy-go. Deletes state/agents/<name>.json so the byline 🤖 row for that agent drops on the next statusline render.

Usage

/snappy-stop                 # stops "default" (back-compat)
/snappy-stop content-miner   # stops the named agent

Steps

  1. Resolve name: first argument if present, else default.
  2. Run:
   bash ~/projects/snappy-os/state/bin/agents/stop.sh <name>
  1. Confirm state/agents/<name>.json no longer exists (it is deleted on

stop, not flipped to status=stopped on disk - the history row in state/log/agents.ndjson records the stop).

  1. Tell the operator:
  • that the agent is stopped (no more ticks will fire for this id)
  • how many ticks it ran (from the final history row)
  • where the run logs are (/tmp/snappy-agent-<name>-*.log)
  • the prompt is preserved in the go history row in

state/log/agents.ndjson for reference

Why

The byline stacks up to 3 🤖 rows for running agents. This skill is the "press the red square" affordance for one of them - without guessing at file paths or touching state/agents/ directly.

Eval

Shape-gate:

  • state/agents/<name>.json is absent after invocation (or was already

absent, which is also a pass - idempotent stop).

  • state/log/agents.ndjson gained a {action:"stop", id:<name>} row.

Score = 1 if both pass; else 0.

Gotchas

  • A tick that is currently in-flight for that agent (its lockfile

/tmp/snappy-agent-<name>.lock is held) continues to completion; only future ticks are blocked. To kill an in-flight tick, identify the claude PID holding the lock and send SIGTERM.

  • /snappy-pause <name> is the "halt without forgetting" alternative -

flips status to paused in the file; tick skips it; /snappy-resume flips it back.

  • Stopping default when no agent named default exists prints a

no-such-agent error but is idempotent - no state change.

Rubric

criteria:
  - name: agent_json_deleted
    kind: deterministic
    check: "The file 'state/agents/<name>.json' must not exist after the skill execution."
  - name: stop_log_entry_added
    kind: deterministic
    check: "The 'state/log/agents.ndjson' file must contain a new JSON object with 'action: \"stop\"' and 'id: <name>'."
  - name: operator_message_completeness
    kind: judge
    check: "The skill's output message to the operator must inform that the agent is stopped, how many ticks it ran, and the location of its run logs."

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

snappy-stop - loader

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

Critical Rules

  • A tick that is currently in-flight (lockfile present) continues to

Commands

| ui dashboard | state/skills/snappy-stop/resources/ui.openui | |invoke: see state/skills/snappy-stop/SKILL.md Steps section |eval log: state/log/evals.ndjson (skill: "snappy-stop")

Self-Test

An agent reading this should correctly:

  1. [ ] Know which lib/bin artifact backs this skill (or that it is prose-only)
  2. [ ] Know what to write to state/log/evals.ndjson after invoking
  3. [ ] 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)] snappy-stop: <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-stop: <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/snappy-stop/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.

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 no runs actor/auditor: unverifiable
deps none declared

no recent runs logged - the eval contract is declared but nothing has been graded yet