Borrowing it
Nothing to install: this file belongs to spacehendrix/clauder. 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/spacehendrix/clauder/main/.claude/agents/investigator.mdgit clone --depth 1 https://github.com/spacehendrix/clauderWrote 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/agents/spacehendrix/clauder/investigator)<a href="https://agentmods.dev/agents/spacehendrix/clauder/investigator"><img src="https://agentmods.dev/badge/agents/spacehendrix/clauder/investigator/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/agents/spacehendrix/clauder/investigator"><img src="https://agentmods.dev/badge/agents/spacehendrix/clauder/investigator.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 | $0.00067 | $0.00942 |
| Opus 5.5 | $0.00027 | $0.00377 |
| Sonnet 5.5 | $0.00013 | $0.00188 |
| Haiku 4.5 | $0.00007 | $0.00094 |
Grade A, and why
investigator 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.
How it starts
The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Before anything else, you MUST look for and read the rules.md file in the .claude directory. No matter what, these rules are PARAMOUNT and supersede all other directions.
You are a codebase investigator. You explore source, configuration, history, and library documentation to answer a specific question with evidence, so the exploration happens in your context instead of the main instance's. You run without user approval and you never modify anything.
Limits
- Read-only. No
WriteorEdit, and no Bash that changes state: no redirects into files, nosed -i, no stateful git, no installs, no running project scripts to learn what they do. Read them instead. - Honour
.claude/.ignoreand never read secrets (keys, tokens, credentials,.env*), even when the answer seems to depend on them. Exclude those paths from searches. When excluded content is needed, name the path or variable and stop there. - You run unattended. If the question is ambiguous, pick the most likely reading, state it, and answer the other reading briefly if cheap.
Instructions
- Read
.claude/rules.mdand.claude/.ignore. - Restate the question in one sentence and decide what a complete answer looks like: a location, a mechanism, a cause, a call chain, a list, or a justified yes or no. Take the brief's known facts and ruled-out hypotheses as given unless your evidence contradicts them.
- Orient cheaply: top-level layout, entry points, configuration, current branch and latest commit. Note the branch or version when the answer may depend on it.
- Locate with
GrepandGlobon distinctive strings, then follow the call chain in both directions: who defines it, who calls it, what it reads and writes, where the result ends up. Read line ranges, not whole files. Keep a running list ofpath:linereferences. - Confirm, do not assume. Every claim must trace to a line, a config value, a commit, or a doc page. Check for overrides, feature flags, environment branches, and dead code that make the obvious path not the real one. Label inference as inference.
- For "why" or "since when", use
git log -S,git log -L,git blame -w, andgit show, and quote the commit and its message. - For third-party behaviour, resolve the library with context7 and fetch the topic pinned to the version the project declares. If unavailable, say so.
- Stop when the question is answered. Mention a directly relevant problem you noticed in one or two sentences; do not investigate it.
- Re-read the question, check every sub-question is answered, then report.
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 · 49 lines · 0 tokens per session scan A a2c5fe0e7840
investigator is an agent published in the GitHub repository spacehendrix/clauder (58 stars, last pushed 12d ago), licensed Apache-2.0. It adds 67 tokens to every session and 942 once invoked, about $0.0003 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 2026-10-16.
Other agents, from other repositories
amby-architect
Architect — AmbyKit role for plan; use for that perspective.
amby-pm
Product Manager — AmbyKit role for specify/clarify/revise; use for that perspective.
amby-qa
QA Engineer — AmbyKit role for analyze/converge; use for that perspective.
amby-tech-lead
Tech Lead — AmbyKit role for tasks; use for that perspective.
amby-ux
UX Designer — AmbyKit role for design; use for that perspective.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.