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 panjose/Co-Scientist --skill co-scientist-doctorgit clone --depth 1 https://github.com/panjose/Co-ScientistWrote 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/panjose/co-scientist/co-scientist-doctor)<a href="https://agentmods.dev/skills/panjose/co-scientist/co-scientist-doctor"><img src="https://agentmods.dev/badge/skills/panjose/co-scientist/co-scientist-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/panjose/co-scientist/co-scientist-doctor"><img src="https://agentmods.dev/badge/skills/panjose/co-scientist/co-scientist-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 | $0.00000 | $0.00485 |
| Opus 5 | $0.00000 | $0.00243 |
| Sonnet 5 | $0.00000 | $0.00097 |
| Haiku 4.5 | $0.00000 | $0.00049 |
Grade A, and why
co-scientist-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 12d 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
co-scientist-doctor
Goal:
- Run the Co-Scientist environment diagnostics and explain any failing or warning checks to the user.
Expected input:
- no arguments for the default project-local doctor
Execution steps:
-
Run:
python -m tools.host.claude_project_cli doctoror, when machine-readable output is needed:
python -m tools.host.claude_project_cli doctor --format json -
Read the emitted diagnostic output and summarize:
- Python version health
- Python dependency health
- active environment / conda or virtualenv status
- dashboard tooling (
node,pnpm) - dashboard install/build readiness
- project-local skill installation state
- how
budget,iteration-policy,iteration-band,stop-policy, andhuman-checkpointdivide responsibility - how dashboard ready URLs are resolved after a background bootstrap
- what
inspect_stateorvalidation blockedmeans operationally
-
If the dashboard checks warn, recommend:
pnpm --dir apps/dashboard install pnpm --dir apps/dashboard build -
If the dashboard checks pass, remind the user:
- fresh
start,run, andresumecommands try a background dashboard bootstrap python -m tools.host.claude_project_cli dashboard <run-dir>resolves the ready dashboard URLruns/<run_id>/dashboard/LINKS.mdis the human-readable dashboard receiptbudgetcontrols per-round intensity, whileiteration-policycontrols semantic vs capped stoppinghuman-checkpoint=automeans completion-driven runs should not pause after every evolution roundinspect_statemeans review/ranking/evolution artifacts disagree and need repair before resume or overview
- fresh
-
If the project-local skills are not installed, recommend:
powershell -File tools/install/install_co_scientist.ps1
Rules:
- Prefer
conda run -n <env> python ...overconda activatewhen the user is running commands through Claude Code shells. - Treat doctor warnings as actionable guidance, not as fatal runtime errors unless the check status is
fail.
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.
- 12d ago First seen · 61 lines · 0 tokens per session scan A 82c610a93043
co-scientist-doctor is a skill published in the GitHub repository panjose/Co-Scientist (5 stars, last pushed 3mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 485 tokens. 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 2026-08-31.
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