Borrowing it
Nothing to install: this file belongs to quzhiii/ai-disk-doctor-integrations. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/quzhiii/ai-disk-doctor-integrations/master/AGENTS.mdgit 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/instructions/quzhiii/ai-disk-doctor-integrations/agents-md)<a href="https://agentmods.dev/instructions/quzhiii/ai-disk-doctor-integrations/agents-md"><img src="https://agentmods.dev/badge/instructions/quzhiii/ai-disk-doctor-integrations/agents-md/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/instructions/quzhiii/ai-disk-doctor-integrations/agents-md"><img src="https://agentmods.dev/badge/instructions/quzhiii/ai-disk-doctor-integrations/agents-md.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 | $0.01088 | $0.01088 |
| Opus 5 | $0.00544 | $0.00544 |
| Sonnet 5 | $0.00218 | $0.00218 |
| Haiku 4.5 | $0.00109 | $0.00109 |
Grade A, and why
ai-disk-doctor-integrations AGENTS.md 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Identity
AI Disk Doctor Integrations is the MCP, Skill, Agent adapter, and compatibility layer for AI Disk Doctor. It also owns bounded projections, Agent validation, and self-service Agent distribution.
It is not a scanner, cleaner, risk engine, policy engine, recovery engine,
Desktop, or second Core implementation. The Core repository,
quzhiii/ai-disk-doctor, is the execution and policy source of truth.
Repository Boundary
Integration owns:
- MCP and Skill integration;
- Agent adapters and compatibility contracts;
- bounded, evidence-preserving projections;
- Agent/client validation;
- self-service Agent distribution.
Integration does not own scanner logic, cleanup semantics, risk classification, recoverability policy, filesystem mutation policy, or Desktop UX. Do not duplicate Core behavior in this repository.
Required Reading
At the start of every new Agent session, before substantive work, use the Read tool to read these files in order:
docs/governance/MILESTONE_PROTOCOL.mddocs/milestones/CURRENT.md- The milestone contract named by
CURRENT.md
Do not assume Markdown paths are automatically expanded or loaded. Actually read each file with the Read tool. Then audit the current repository, branch, HEAD, working tree, relevant code, docs, tests, and workflows.
Runtime / Product Truth
Use this order to determine what the product and runtime currently are:
- Current repository code and public contracts
- Current accepted runtime and product documentation
- Current accepted validation evidence
- Historical decisions and validation records
- Chat assumptions
Code and public contracts decide current reality. Historical or archived material must not override it. Label historical evidence as historical and do not present it as runtime behavior.
Execution Authority
Use this order to determine what the Agent is authorized to do in the current milestone:
- Frozen current milestone contract
- Repo-level governance in
AGENTS.mdanddocs/governance/MILESTONE_PROTOCOL.md - Accepted product and runtime documentation as supporting context
- Chat assumptions
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 First seen · 138 lines · 1,088 tokens per session scan A 2584ba36768a
ai-disk-doctor-integrations AGENTS.md is an instructions file published in the GitHub repository quzhiii/ai-disk-doctor-integrations (0 stars, last pushed 8d ago), licensed Apache-2.0. It adds 1,088 tokens to every session, about $0.0054 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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langchain AGENTS.md
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deepseek-harness AGENTS.md
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