bash ~/projects/snappy-os/state/bin/agents/list. .md file to compare - side-by-side diff against snappy-list
snappy-list
What it does for you
Lists every helper running now, with how long each has been going.
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 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.
state/skills/snappy-list/SKILL.md
present
state/lib/snappy-list.ts
not present
state/bin/snappy-list/
not present
state/skills/snappy-list/AGENTS.md
present
how it's graded - what counts as a good run 4 criteria · 2 deterministic · 2 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.
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 - /snappy-list lists running BACKGROUND AGENTS, not skills. If the user is asking for the skill catalog, route to state/index.md (or find-skills for fuzzy lookup). The agent inventory is state/agents/.json; the skill catalog is state/skills//. (writeback 2026-04-28T22:33:27Z — loader did not match user intent who asked for skills.)
- Agents are scoped to this machine. An agent started on the Mac mini does NOT appear in /snappy-list on the MBP and vice versa. The cross-machine inventory is the Ops view (TUI, press 4); this skill is the local view only.
- status: stopped agents are deleted immediately — they will not appear in the list. Use state/log/agents.ndjson for history.
- normalizeId() strips any character outside [a-z0-9-]. Caller passing Content Miner! ends up at on-disk id content-miner. Cite the canonical id in any pause/resume/stop command.
- The invoking agent (NOT list.sh — it's a thin wrapper) appends one eval row via score() with actor_session_id ≠ auditor_session_id (CONSTITUTION invariants #3 + #4).
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
`bash ~/projects/snappy-os/state/bin/agents/list.sh` (prints JSON; one row per agent)
SKILL.md- the skill, written out in plain English
snappy-list
One job: answer "what background agents do I have running right now, on this machine?" The byline stacks up to 3 🤖 rows and then overflows to 🤖 +N more · → /snappy-list. This skill is where the full list lives.
Usage
/snappy-list
No argument. Reads state/agents/*.json and prints one line per agent.
Steps
- Run:
bash ~/projects/snappy-os/state/bin/agents/list.sh
- Parse the JSON on stdout. For each agent, show:
id(e.g.default,content-miner)status(running / paused / stopped / done)ticks/max_tickslast_tick_atas relative age (e.g.4m ago,—)- the first 60 chars of
prompt
- If none are running, say so in one line and exit - don't offer to
invent work.
- If any agent is running, optionally call AskUserQuestion with one
question per agent offering Pause / Resume / Stop / Leave running. Apply the picks via ctl.ts pause|resume|stop <id>. Skip the picker if the user's message was purely informational.
- The invoking agent (not list.sh - it's a thin wrapper) appends one
eval row via score() with {skill:"snappy-list", verb:"list", score: 1 if list-printed else 0}, supplying its own actor_session_id and a separate auditor_session_id (CONSTITUTION invariant #4 + #3).
Why
state/directive.json was one file → one agent. After Commit 4 the system runs N named agents from state/agents/<id>.json. The byline can show three before it overflows; this skill is the full inventory view.
Also the one place where the user can see which agent corresponds to which byline 🤖 row, and pause/stop individual ones without guessing at paths.
Eval
Shape-gate:
state/agents/was scanned (or "no agents running" was reported).- Every agent row that was present on disk appeared in the output.
- An eval row was appended.
Score = 1 if shape passes else 0.
Gotchas
- Agents are scoped to this machine. An agent started on the Mac Mini
does NOT appear in /snappy-list on the MBP (and vice versa). The Ops view (TUI, press 4) is the cross-machine inventory; this skill is the local one.
status: stoppedagents are deleted immediately; they won't show in
the list. Use state/log/agents.ndjson for history.
normalizeId()strips any character outside[a-z0-9-]. If a caller
passed Content Miner!, the on-disk id is content-miner.
Rubric
criteria:
- name: script_execution_success
kind: deterministic
check: "The command 'bash ~/projects/snappy-os/state/bin/agents/list.sh' executes without error."
- name: all_agents_listed_or_none
kind: judge
check: "The skill output either explicitly states 'no agents running' or lists every agent found in 'state/agents/*.json'."
- name: output_format_and_content
kind: judge
check: "For each listed agent, the output displays 'id', 'status', 'ticks/max_ticks', 'last_tick_at', and the first 60 characters of 'prompt' accurately."
- name: eval_row_appended
kind: deterministic
check: "An eval row with 'skill:\"snappy-list\"' and 'verb:\"list\"' is appended to 'state/log/evals.ndjson'."AGENTS.md- what the AI loads when this skill comes up
snappy-list - loader
Per-turn rules for the snappy-list skill. Full reference: state/skills/snappy-list/SKILL.md. Do not skip these.
Critical Rules
/snappy-listlists running BACKGROUND AGENTS, not skills. If the user is asking for the skill catalog, route tostate/index.md(orfind-skillsfor fuzzy lookup). The agent inventory isstate/agents/*.json; the skill catalog isstate/skills/*/. (writeback 2026-04-28T22:33:27Z - loader did not match user intent who asked for skills.)- **Agents are scoped to this machine.** An agent started on the Mac mini does NOT appear in
/snappy-liston the MBP and vice versa. The cross-machine inventory is the Ops view (TUI, press4); this skill is the local view only. status: stoppedagents are deleted immediately - they will not appear in the list. Usestate/log/agents.ndjsonfor history.normalizeId()strips any character outside[a-z0-9-]. Caller passingContent Miner!ends up at on-disk idcontent-miner. Cite the canonical id in any pause/resume/stop command.- The invoking agent (NOT
list.sh- it's a thin wrapper) appends one eval row viascore()withactor_session_id ≠ auditor_session_id(CONSTITUTION invariants #3 + #4).
Commands
| ui dashboard | state/skills/snappy-list/resources/ui.openui | |invoke: bash ~/projects/snappy-os/state/bin/agents/list.sh (prints JSON; one row per agent) |control after listing: npx tsx state/bin/agents/ctl.ts {pause|resume|stop} <id> (id = normalized slug) |history (cross-machine): state/log/agents.ndjson |catalog of SKILLS (different surface): state/index.md or npx skills find <kw> |eval log: state/log/evals.ndjson (skill: "snappy-list", eval_mode: auto-shape; shape gate: list printed OR "no agents running" line)
Self-Test
An agent reading this should correctly:
- [ ] Distinguish "list agents" (this skill, reads
state/agents/) from "list skills" (route tostate/index.md) - [ ] Treat
state/agents/as machine-local - never claim cross-machine inventory - [ ] Use
normalizeId()'s canonical slug when piping to ctl.ts pause/resume/stop - [ ] Append exactly one eval row per invocation with actor ≠ auditor
Self-report
If this loader fell short, append a line:
echo "[$(date -u +%FT%TZ)] snappy-list: <what was missing or fixed> [FIXED|LOGGED] action_kind=<kind>" >> state/log/loader-feedback.log
<!-- kernel-ok: historical attribution for the PID-loader pattern. -->
Self-correcting loader (PID feedback)
This is the rule that makes loaders learn. Ported from snappy-kernel, where it demonstrably worked: the snappy-dom-cartographer skill mapped Skool admin UI once, every later ship-agent inherited the full map for free.
Before you finish, do two things:
1. Fix gaps (P - proportional). MANDATORY. If this loader didn't cover your case - if you had to read another file, run an undocumented command, work around a wrong selector, or discover a quirk - you MUST attempt an Edit to this AGENTS.md before you log.
- Default action: edit this file. Surgical. Add the missing line, table
row, or code example where it belongs. No restructuring.
- Only
LOGGEDis allowed when: the fix needs >10 lines, spans multiple
files, or requires a structural rewrite. In that case the state/regen/drain.sh queue picks it up asynchronously.
- "I didn't have time" / "it's minor" / "the next agent will figure it out"
are NOT valid reasons. Minor gaps compound - that's the whole point of this loop.
- Concrete example of a valid P-fix: discover
agent-browser screenshot
takes path positionally not as --output <path>. One line in a table. Edit it in. Do not just log it.
- The goal: the next agent never has to leave the loader.
2. Log the result.
echo "[$(date -u +%FT%TZ)] snappy-list: <what was missing or fixed> [FIXED|LOGGED] action_kind=<kind>" >> 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-list/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
⚠ 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
| timestamp | verb | score | primary_issue | artifact |
|---|---|---|---|---|
| 2026-04-27 05:53Z | - | 1.00 | - | - |
| 2026-04-25 04:11Z | - | 1.00 | - | - |
| 2026-04-21 15:59Z | - | 1.00 | - | - |
| 2026-04-21 15:57Z | - | 1.00 | - | - |
| 2026-04-21 03:53Z | - | 1.00 | - | - |
| 2026-04-27 05:53Z | - | 1.00 | - | - |
| 2026-04-25 04:11Z | - | 1.00 | - | - |
| 2026-04-21 15:59Z | - | 1.00 | - | - |
| 2026-04-21 15:57Z | - | 1.00 | - | - |
| 2026-04-21 03:53Z | - | 1.00 | - | - |