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 quzhiii/ai-disk-doctor-integrations --skill ai-disk-doctorgit clone --depth 1 https://github.com/quzhiii/ai-disk-doctor-integrationsWrote 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/quzhiii/ai-disk-doctor-integrations/ai-disk-doctor)<a href="https://agentmods.dev/skills/quzhiii/ai-disk-doctor-integrations/ai-disk-doctor"><img src="https://agentmods.dev/badge/skills/quzhiii/ai-disk-doctor-integrations/ai-disk-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/quzhiii/ai-disk-doctor-integrations/ai-disk-doctor"><img src="https://agentmods.dev/badge/skills/quzhiii/ai-disk-doctor-integrations/ai-disk-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 | $0.00057 | $0.01322 |
| Opus 5 | $0.00028 | $0.00661 |
| Sonnet 5 | $0.00011 | $0.00264 |
| Haiku 4.5 | $0.00006 | $0.00132 |
Grade A, and why
ai-disk-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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Disk Doctor
Use the AI Disk Doctor MCP tools as the workspace storage governance layer. The local AI Disk Doctor Core is the only source of truth for scanning, model inventory, history, diff, rules, policy, risk, and future cleanup planning.
When To Use
Use this Skill for questions such as:
- Why is my disk suddenly full?
- Which AI tools, IDEs, or model caches are consuming storage?
- What did Claude, OpenCode, Cursor, Ollama, or other tools leave locally?
- What changed since the previous scan?
- Which findings need review, and what evidence supports that classification?
I3 Workflow
- Complete the package setup and verification path in
docs/I3_SELF_SERVICE.mdbefore asking for a natural storage diagnosis. Keep Claude Code in thesafe-alpha-v1profile. - For a natural storage diagnosis such as why the computer is getting full, call
aidisk_workspace_explainas the primary entry point with{}and nocategoryfield. Its handler performs the capability compatibility check internally. - Supply
aidisk_workspace_explain.categoryonly when the user explicitly requests a focused, named Core category. Preserve the user's requested category without guessing a different value. - Use
aidisk_capabilitiesfor explicit capability inspection or compatibility troubleshooting, such as what AI Disk Doctor supports or whether the Core contract/schema is available. It is not required beforeaidisk_workspace_explain. - Call
core_statuswhen the Core may be missing or the environment is unfamiliar. If workspace explain reports an unavailable or incompatible Core, report that diagnostic state and stop. - Use
scan_summaryfor explicit scanner-level findings or low-level scan inspection. Preferaidisk_workspace_explainfor general questions about why storage is growing or the workspace is full. Use itscategoryonly when the user asks for a focused area; do not provide rules, policy, root, reports, or executable paths. - Call
ai_model_inventoryonly for explicit model-asset or model-inventory questions, or inspection of known AI model files. Only use the optionaltoolselector. Treat unknown, incomplete, custom, shared, or credential-adjacent assets conservatively. - Call
latest_diffwhen the user asks what changed recently. Core owns snapshot discovery and diff semantics. - Explain findings with Core evidence. Preserve partial status, warning text, and bounded-output markers; do not turn handling or risk evidence into cleanup authorization.
What ships with it
4 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.
- 8d ago Changed · +1 lines a66d62c553b6
- 11d ago First seen · 74 lines · 57 tokens per session scan A 50635886af3d
ai-disk-doctor is a skill published in the GitHub repository quzhiii/ai-disk-doctor-integrations (0 stars, last pushed 11d ago), licensed Apache-2.0. It adds 57 tokens to every session and 1,322 once invoked, about $0.0003 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 2026-08-31.
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