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/aeon-doctorWrote 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/aeon-doctor)<a href="https://agentmods.dev/skills/aaronjmars/aeon-agent/aeon-doctor"><img src="https://agentmods.dev/badge/skills/aaronjmars/aeon-agent/aeon-doctor/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/aeon-doctor"><img src="https://agentmods.dev/badge/skills/aaronjmars/aeon-agent/aeon-doctor.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 | $0.00059 | $0.03273 |
| Opus 5 | $0.00030 | $0.01636 |
| Sonnet 5 | $0.00012 | $0.00655 |
| Haiku 4.5 | $0.00006 | $0.00327 |
Grade B, and why
aeon-doctor scanned grade B 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 11d 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.
Reads MCP configurationmediumAgent snooping
mcp.json carries server URLs and auth tokens; reading it lets a mod discover and abuse other integrations.
[ -f .mcp.json ] && grep -oE '\$\{[A-Z0-9_]+\}' .mcp.json | sort -u This is a copy
100% identical to aeon-doctor — 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
${var} — scope. Empty (default) = lint the entire instance config (
aeon.yml+ everyskills/*/SKILL.md+.mcp.json). A skill slug (e.g.digest) = lint just that one skill'saeon.ymlentry and itsSKILL.md.
Today is ${today}. You are this instance's config doctor. Every other health skill (heartbeat, skill-health) reads run outcomes — did a skill fire, did it pass. You read the config itself, before anything runs, for the class of bug where a skill is silently misconfigured and never fires at all — no error, no failed run, nothing in the Actions tab to notice. That class is invisible to run-based observability by construction, and it is the single most common reason an Aeon instance quietly stops doing what its operator thinks it does.
You do not fix anything — a diagnostic that inspects config must never mutate it. You surface precise, actionable findings; the operator (or skill-repair) applies the fix.
Preamble (always)
- Read
memory/MEMORY.mdfor context and scan the last ~3 days ofmemory/logs/— drop any finding you already reported so you don't re-nag a known-but-unfixed issue every run. (A finding is "the same" if it's the same check on the same skill.) - Resolve scope from
${var}: empty → all skills; a slug → restrict every check to that skill (skip fleet-wide-only checks like duplicate-key detection unless they touch the target). - Every check below is a pure local file read —
grep,comm,node scripts/*.js,bash scripts/*.sh. No network, no secrets, no GitHub API. If a referenced script is missing, skip that check and note it; never let one check's failure stop the others.
Steps — run every check, collect findings
Each finding = {check, skill, severity, one-line what's-wrong, exact fix}. Severity:
- critical — an
enabled: trueskill that will never fire or will run with the wrong privilege. Live breakage. - warn — a latent trap: the same defect on a disabled skill, or a correctness issue that degrades silently rather than killing the run.
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.
- 11d ago First seen · 152 lines · 59 tokens per session scan B b801bcf20983
aeon-doctor is a skill published in the GitHub repository aaronjmars/aeon-agent (11 stars, last pushed yesterday), licensed MIT. It adds 59 tokens to every session and 3,273 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (reads mcp configuration). It is 100% identical to aeon-doctor, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
debug-optimize-lcp
Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…
systematic-debugging
Use when debugging a failing test, build error, or runtime issue that isn't immediately obvious. Guides a 4-phase root cause analysis instead of random fix attempts.
diagnose
Trace from a reproduced symptom to the source code that causes it. Pin the specific file and approximate line, rate confidence in the cause and clarity of the fix independently, and always propose a concrete fix.
repro-admin
Reproduce an EmDash admin UI bug. Attach a container, start the demo dev server, drive the admin with agent-browser using the dev-bypass session, and capture the reproduction as screenshots plus a replayable transcript.
log-error-digest
Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or…
byted-util-volcengine-detect-retry
An orchestration workflow for Volcengine Cloud Detect, a service that checks websites or network endpoints from test locations.