Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add SinanTufekci/agent-intern --skill doctorgit clone --depth 1 https://github.com/SinanTufekci/agent-internWrote 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/sinantufekci/agent-intern/doctor)<a href="https://agentmods.dev/skills/sinantufekci/agent-intern/doctor"><img src="https://agentmods.dev/badge/skills/sinantufekci/agent-intern/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/sinantufekci/agent-intern/doctor"><img src="https://agentmods.dev/badge/skills/sinantufekci/agent-intern/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 | $0.00072 | $0.00525 |
| Opus 5.5 | $0.00029 | $0.00210 |
| Sonnet 5.5 | $0.00014 | $0.00105 |
| Haiku 4.5 | $0.00007 | $0.00052 |
Grade A, and why
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 4d 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
Call every agent-intern status tool in parallel. None of them spends quota:
antigravity_statuscodex_statuscopilot_statuscursor_statusopencode_statusgrok_statuskimi_statusmuse_status
Report one table with a row per backend and these columns: Backend, Ready, Version, Next step.
- Ready:
- ✅ installed and signed in
- ⚠️ installed, but not signed in or misconfigured
- ❌ CLI not found
- Next step: the one thing to do, taken from that backend's status output, such as the login command. Keep it under about 12 words, and leave it empty for a backend that's ready.
After the table:
- A newer agent-intern release: if any status output reports one, say so once and give the upgrade command it names.
- No backend ready: recommend opencode.
npm i -g opencode-aineeds no account, and its free models answer with zero credentials, just slowly. - Grok, Kimi and Muse: mark them experimental, because no real model has ever answered through them. If the user has one of those subscriptions, point them to https://github.com/SinanTufekci/agent-intern/issues/new?template=backend_verification.yml.
Don't call any *_ask, *_continue or image tool from this skill.
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.
- 4d ago First seen · 46 lines · 72 tokens per session scan A 73d5919489b1
doctor is a skill published in the GitHub repository SinanTufekci/agent-intern (25 stars, last pushed 5d ago), licensed MIT. It adds 72 tokens to every session and 525 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-25.
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