Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/aaronjmars/aeon-agentnpx agentmods add skills/aaronjmars/aeon-agent/fleet-controlWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/aaronjmars/aeon-agent/fleet-control)<a href="https://agentmods.dev/skills/aaronjmars/aeon-agent/fleet-control"><img src="https://agentmods.dev/badge/skills/aaronjmars/aeon-agent/fleet-control/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/aaronjmars/aeon-agent/fleet-control"><img src="https://agentmods.dev/badge/skills/aaronjmars/aeon-agent/fleet-control.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00043 | $0.05888 |
| Opus 5.5 | $0.00017 | $0.02355 |
| Sonnet 5.5 | $0.00009 | $0.01178 |
| Haiku 4.5 | $0.00004 | $0.00589 |
Grade A, and why
fleet-control scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 15d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
**Control view (health / status / dispatch):** always use `gh api` over raw curl (it handles auth internally, so no `$SECRET` appears on the command line for the Bash permission layer to refuse). All cross-repo calls go This is a copy
100% identical to fleet-control — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 441 lines — stays where its author put it; the contents beside it link to each section on GitHub.
${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)
-
Read memory — read
memory/MEMORY.mdfor high-level context and scan the last ~3 days ofmemory/logs/for recent activity; don't re-report a signal already logged there. -
Voice — if
soul/SOUL.mdandsoul/STYLE.mdexist 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. -
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)
-
Route:
- Health Check / Status / Dispatch → run the Control-view pre-flight below, then the matching mode section. These modes make live
ghcalls. - 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.
- Health Check / Status / Dispatch → run the Control-view pre-flight below, then the matching mode section. These modes make live
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 15d ago Changed · -1 lines a98fee9cf17d
- 1mo ago First seen · 442 lines · 43 tokens per session scan A bb5a4421755c
fleet-control is a skill published in the GitHub repository aaronjmars/aeon-agent (12 stars, last pushed 6d ago), licensed MIT. It adds 43 tokens to every session and 5,888 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to fleet-control, differing in 0 lines, and is treated as a copy.
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