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/simonrowland/goal-flightnpx agentmods add skills/simonrowland/goal-flight/goal-flight-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/simonrowland/goal-flight/goal-flight-doctor)<a href="https://agentmods.dev/skills/simonrowland/goal-flight/goal-flight-doctor"><img src="https://agentmods.dev/badge/skills/simonrowland/goal-flight/goal-flight-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/simonrowland/goal-flight/goal-flight-doctor"><img src="https://agentmods.dev/badge/skills/simonrowland/goal-flight/goal-flight-doctor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00026 | $0.00165 |
| Opus 5 | $0.00013 | $0.00082 |
| Sonnet 5 | $0.00005 | $0.00033 |
| Haiku 4.5 | $0.00003 | $0.00016 |
Grade A, and why
goal-flight-doctor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
goal-flight-doctor
Use this skill when the user asks for /goal-flight doctor, goal-flight
readiness, setup verification, or host/worker diagnostics.
Steps
- Read the repository
AGENTS.mdfirst when present. - Read the repository root
SKILL.mdas the canonical Goal Flight workflow. - Read
commands/doctor.md. - Run the procedural doctor for the current repository:
python3 scripts/goalflight_doctor.py --project-root "$PWD"
Keep long probe details out of chat. Return the checklist summary and the highest-priority blocker, if any.
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.
- 6d ago Changed · +11 tokens per session d820a8d9940e
- 11d ago First seen · 24 lines · 15 tokens per session scan A b77c6a41f82d
goal-flight-doctor is a skill published in the GitHub repository simonrowland/goal-flight (20 stars, last pushed 3d ago), licensed MIT. It adds 26 tokens to every session and 165 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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chimera-when-two-results-contradict-suspect-the-apparatus
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