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 rangerrick337/operator-os --skill workspace-doctorgit clone --depth 1 https://github.com/rangerrick337/operator-osWrote 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/rangerrick337/operator-os/workspace-doctor)<a href="https://agentmods.dev/skills/rangerrick337/operator-os/workspace-doctor"><img src="https://agentmods.dev/badge/skills/rangerrick337/operator-os/workspace-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/rangerrick337/operator-os/workspace-doctor"><img src="https://agentmods.dev/badge/skills/rangerrick337/operator-os/workspace-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 | $0.00034 | $0.00119 |
| Opus 5.5 | $0.00014 | $0.00048 |
| Sonnet 5.5 | $0.00007 | $0.00024 |
| Haiku 4.5 | $0.00003 | $0.00012 |
Grade A, and why
workspace-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 1mo 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
Workspace Doctor
Run from the repository root:
python3 "Operator Team OS/3. Skills/workspace-doctor/scripts/operator_doctor.py"
The doctor is read-only. A failure is a punch list, not authorization to fix or delete anything. Report every failed check and the exact remediation path.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 17 lines · 34 tokens per session scan A 365deff74479
workspace-doctor is a skill published in the GitHub repository rangerrick337/operator-os (9 stars, last pushed 14d ago), licensed MIT. It adds 34 tokens to every session and 119 once invoked, about $0.0001 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 2026-09-04.
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