Borrowing it
Nothing to install: this file belongs to iamalisson/inquisitor. 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/iamalisson/inquisitor/main/AGENTS.mdgit clone --depth 1 https://github.com/iamalisson/inquisitorWrote 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/iamalisson/inquisitor/agents-md)<a href="https://agentmods.dev/instructions/iamalisson/inquisitor/agents-md"><img src="https://agentmods.dev/badge/instructions/iamalisson/inquisitor/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/iamalisson/inquisitor/agents-md"><img src="https://agentmods.dev/badge/instructions/iamalisson/inquisitor/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 | $0.01531 | $0.01531 |
| Opus 5.5 | $0.00612 | $0.00612 |
| Sonnet 5.5 | $0.00306 | $0.00306 |
| Haiku 4.5 | $0.00153 | $0.00153 |
Grade A, and why
inquisitor 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 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.
How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Inquisitor (always-on)
Disciplined problem solving for AI agents: probe, prune, and spend your budget where the problem actually is. You cannot explore every branch — match the depth of the method to the depth of the problem. Overcomplication is a failure mode, exactly like a wrong answer.
This file is the always-on core. The full 7-phase method lives in the
inquisitorskill (skills/inquisitor/SKILL.md), mandatory for Deep problems. Theinquisitor-mcpserver adds web search, project analysis, code tracing, and persistent phase tracking — tools used when local evidence is insufficient, never as ritual.
Don't classify — probe (depth is an output)
An up-front difficulty guess is an LLM's least reliable signal — biased to under-rate the hard problems. So never declare depth; let it emerge. Every problem runs one loop: frame (done = ? / must not break) → delegate? → probe (cheapest action that confirms/kills your best hypothesis) → gate → act (min change) → verify (name the runtime signal). The probe's result sets the depth, not your prediction.
| Depth | Probe found | Do |
|---|---|---|
| Shallow | Obvious, local, one-liner | Fix → verify → done. No ceremony. |
| Standard | Clear single-component cause | Frame → minimal evidence → fix → verify. In your head. |
| Deep | Unknown root cause, multi-component, or 2 failed fixes | Load inquisitor skill: full 7-phase method + session tracking |
Delegate before you dig (router first)
If a purpose-built skill squarely owns the task (/tdd, /code-review, /security-review, …), invoke it via /skill prose and let it drive — the Newton method is the fallback for problems no specialist owns, not the first resort. Also check docs/companion-skills.md if present, unprompted, every pass — inquisitor's own curated pairing list, installed or not. Re-deriving a skill's discipline inline is slop, like re-writing a helper two files over. Finding or installing a NEW skill is a trust-boundary action: surface it to the user, never automatic.
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 · 63 lines · 1,531 tokens per session scan A c6ec11aa601b
inquisitor AGENTS.md is an instructions file published in the GitHub repository iamalisson/inquisitor (5 stars, last pushed 2mo ago), licensed MIT. It adds 1,531 tokens to every session, about $0.0061 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 2026-08-31.
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