Agent skill · Audited from source
Fleet Control
skill · aaronjmars/aeonMIT licenceAudited 14 Oct 2026 · source 0448e87653f9
Is it safe? With care — CAUTION, grade B (89/100). We read this skill's source at commit 0448e87653f9 and found no filesystem, network or shell access and no hard-coded secrets. The audit raised 1 finding, 1 critical or high. What it does: Operate managed Aeon instances from memory/instances.json - health-check, dispatch, and status snapshots (control), plus a fleet scorecard of runs, tokens, cost, and reliability (scorecard).
Cite
Cite this page
ModelsAtlas. “Fleet Control (aaronjmars/aeon)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/aaronjmars/fleet-control
Trust audit
Audit 0.4.1 · source read 14 Oct 2026
CAUTION means the audit found things worth knowing before you trust this skill. Grade B is shared by 13,985 of 14,816 audited skills.
What the source does
- FilesystemNone observedNo reads or writes in the source
- NetworkNone observedNo outbound calls in the source
- ShellNone observedNo commands run in the source
- DependenciesPinnedNothing floats
- SecretsNone foundNo keys in source
Five audit layers
| Layer | What we check | Result | Findings |
|---|---|---|---|
L0 Provenance | Repo owner, licence, archive status, activity | PASS | 0 |
L1 Static source | Secrets, path traversal, supply chain, hidden code | NA | 0 |
L2 Instructions | Prompt injection, authority framing, hidden directives | FAIL | 1 |
L3 Inventory | The files and declarations match the source | PASS | 0 |
L4 Sandbox | Run in isolation and watch behaviour | SKIPPED why | 0 |
Gates applied: no behavioural pass.
Findings (1)
HIGHPrompt injectionprompt.credential_read · SKILL.md:424
`GH_READ_PAT` (optional, read-only) — declared in `requires:` and read from `process.env` by `scripts/fleet-scorecard.mjs` (scorecard view) to reach private managed instances; it falls back to `GH_GLO
- Why
- asks the agent to read credentials
- Fix
- —
Audit 0.4.1 · source sha 0448e87653f9 · 14 Oct 2026Report an issue or request a re-scan
Provenance
Who published it, and what the verdict is pinned to
- Publisheraaronjmars GitHub organizationOwner of the repository this skill is read from
- Source folderaaronjmars/aeon/skills/fleet-controlThe exact folder we audited
- LicenceMITAs the repository states it
- Commit pinned for this verdict0448e87653f9A new audit runs when the source changes
- Repository statusNot archivedPushed today
- Sandboxed runNot runSkills are read, not executed; layer L4 is skipped
What it tells the agent
Full source on GitHub ↗Its description: Operate managed Aeon instances from memory/instances.json - health-check, dispatch, and status snapshots (control), plus a fleet scorecard of runs, tokens, cost, and reliability (scorecard).
---
name: fleet-control
description: Operate managed Aeon instances from memory/instances.json - health-check, dispatch, and status snapshots (control), plus a fleet scorecard of runs, tokens, cost, and reliability (scorecard).
metadata:
title: Fleet Control
category: core
var: ""
tags:
- dev
- meta
- fleet
- report
- cost
requires:
- GH_READ_PAT?
---
<!-- autoresearch: variation B — sharper output: verdict line + delta vs prior + per-instance action column + state-change-gated notify -->
> **${var}** — Command / view selector. Empty (or unrecognized) → **Health Check** (default control view). `status` → full **Status Mode** (control view). `dispatch <instance|*> <skill> [var=<value>]` → **Dispatch Mode**: trigger a skill on one child or all healthy/degraded children (control view). `scorecard` → **Scorecard Mode**: fleet-wide runs/tokens/cost/reliability scorecard with day-over-day deltas + alerts (scorecard view).
Today is ${today}. Operate the fleet of Aeon instances registered in `memory/instances.json`. The **control view** (health/status/dispatch) is **decision-ready**: every run leads with a verdict, then a delta vs prior check, then per-instance lines that name the next concrete action. The **scorecard view** publishes the daily fleet-wide cost/reliability scorecard.
The fleet is **discovered at runtime, never hardcoded**: it is this repo ("self") plus every non-archived entry in `memory/instances.json` (the registry `fleet-control` and `spawn-instance` maintain). With zero managed instances the scorecard simply covers the single self repo — still useful.
## Shared preamble (every run)
1. **Read memory** — read `memory/MEMORY.md` for high-level context and scan the last ~3 days of `memory/logs/` for recent activity; don't re-report a signal already logged there.
2. **Voice** — if `soul/SOUL.md` and `soul/STYLE.md` exist and are populated, read them and match the operator's voice in every notification. If they are empty templates or absent, use a clear, direct, neutral tone — terse, lowercase, no fluff.
3. **Parse `${var}` → mode**:
- empty / unrecognized → **Health Check Mode** (control view; default)
- exactly `status` → **Status Mode** (control view)
- starts with `dispatch ` → **Dispatch Mode** (control view)
- exactly `scorecard` → **Scorecard Mode** (scorecard view)
4. **Route**:
- **Health Check / Status / Dispatch** → run the **Control-view pre-flight** below, then the matching mode section. These modes make live `gh` calls.
- **Scorecard** → skip the control-view pre-flight entirely and jump straight to **Scorecard Mode**, which gathers its own data in-run via `node scripts/fleet-scorecard.mjs`.
---
## Control-view pre-flight (health / status / dispatch only)
1. **Verify gh auth** — `gh auth status` must succeed. If not, log `FLEET_NO_AUTH` to `memory/logs/${today}.md` and notify `Fleet Control: gh auth missing — check GITHUB_TOKEN secret.` Stop.
2. **Check rate limit** — `REMAINING=$(gh api rate_limit --jq '.resources.core.remaining')`. If `REMAINING < 50`, log `FLEET_RATE_LIMITED:remaining=${REMAINING}` and notify a one-line warning, then stop.
3. **Load the registry** — read `memory/instances.json`. If the file is missing, write `{"instances": []}` to bootstrap. If `.instances` is absent or `[]`:
- Log `FLEET_EMPTY: no managed instances` to `memory/logs/${today}.md`.
- **Stop. Do NOT notify.**
4. **Load prior state** — read `memory/state/fleet-control-state.json` (create the directory and file with `{"instances": {}, "last_full_summary_date": ""}` if missing). Shape:
```json
{
"instances": {
"<name>": { "health": "<status>", "last_checked": "<ISO>", "consecutive_unreachable": 0 }
},
"last_full_summary_date": "YYYY-MM-DD"
}
```
---
## Health Check Mode (default — control view)
For each registered instance, skip rows with `archived: true` from per-instance work (count them separately). Run the three calls per instance in parallel using `&` + `wait` and write each to `/tmp/fleet/${SAFE}.{repo,runs,cron}.json`:
a. **Repo metadata**:
```bash
gh api "repos/${REPO}" \
--jq '{full_name, pushed_at, archived, default_branch, open_issues_count}' \
> "/tmp/fleet/${SAFE}.repo.json" 2>"/tmp/fleet/${SAFE}.repo.err" &
```
b. **Workflow runs in last 24h** (precise window, not "last 5"):
```bash
SINCE=$(date -u -d '24 hours ago' +%Y-%m-%dT%H:%M:%SZ)
gh api "repos/${REPO}/actions/runs?created=>${SINCE}&per_page=100&exclude_pull_requests=true" \
--jq '{total_count, runs:[.workflow_runs[]|{name,status,conclusion,created_at,html_url}]}' \
> "/tmp/fleet/${SAFE}.runs.json" 2>"/tmp/fleet/${SAFE}.runs.err" &
```
c. **Cron-state from child**:
```bash
gh api "repos/${REPO}/contents/memory/cron-state.json" --jq '.content' 2>"/tmp/fleet/${SAFE}.cron.err" \
| base64 -d > "/tmp/fleet/${SAFE}.cron.json" &
```
`wait` after launching all three for an instance (or batch across all instances if you trust your parallelism — keep ≤16 concurrent calls to stay under rate limit).
**Classify each instance** with precise thresholds:
- **unreachable** — repo metadata call returned non-zero (404/403/etc.)
- **archived** — repo metadata returns `archived: true`
- **pending_secrets** — `runs.total_count == 0` for the 24h window AND repo `pushed_at` ≥ 7 days old (newly-spawned instances under 7 days stay unclassified-but-tracked)
- **stale** — `runs.total_count == 0` AND `pushed_at` > 7 days old AND not `archived`
- **degraded** — ≥1 cron-state skill with `consecutive_failures ≥ 3` OR (24h failure_count / total_count) ≥ 0.5 with total_count ≥ 2
- **warning** — 24h failure_count ≥ 1 but ratio < 0.5
- **healthy** — has runs in last 24h, all conclusions `success` or `in_progress`/`queued`, no degraded cron-state skills
For each instance compute a **next_action** (one short imperative phrase):
- `pending_secrets` → `add ANTHROPIC_API_KEY at https://githuExcerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.
Install
Pinned to the audited commit 0448e87
git clone https://github.com/aaronjmars/aeon git -C aeon checkout 0448e87653f9
The author documents no install command, so this uses the repository directly. Our verdict covers commit 0448e87653f9 only.
Works in
The author has not said which agents this skill supports, and we have not tested it in any.
Audit history
Every audit, every source change
- !CAUTION B 89 / 100
first audit · source
0448e87653f9
Similar skills
aden-hive/hive
Multi-Agent Harness for Production AI
aden-hive/hive
SOP for debugging browser automation failures on complex websites. Use when browser tools fail on specific sites like LinkedIn, Twitter/X, SPAs, or sites with Shadow DOM.
aden-hive/hive
Required reading whenever any chart_* tool is available. Teaches the one-tool embedding contract (call chart_render → live chart appears in chat AND a downloadable PNG lands in the queen session dir), the ECharts (data…
aden-hive/hive
Claim tasks, record step progress, and verify SOP gates in the colony SQLite queue. Applies when your spawn message includes a db_path field.
aden-hive/hive
Proactively extract critical values from tool results into working notes before automatic context pruning destroys them.
aden-hive/hive
Follow a structured recovery decision tree when tool calls fail instead of blindly retrying or giving up.
Questions about Fleet Control
What does the Fleet Control skill do?
Is Fleet Control safe to install?
What can Fleet Control access on my machine?
How current is this page?
Sources
- github.com/aaronjmars/aeon/tree/main/skills/fleet-control — the audited source at commit 0448e87653f9 and every finding aboveObserved · 14 Oct 2026
Spotted something wrong? Report a correction · Methodology
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- What does the Fleet Control skill do?
- Is Fleet Control safe to install?
- What can Fleet Control access on my machine?