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.
git clone --depth 1 https://github.com/damusix/atomic-claudeWrote 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/damusix/atomic-claude/atomic-investigator)<a href="https://agentmods.dev/agents/damusix/atomic-claude/atomic-investigator"><img src="https://agentmods.dev/badge/agents/damusix/atomic-claude/atomic-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/damusix/atomic-claude/atomic-investigator"><img src="https://agentmods.dev/badge/agents/damusix/atomic-claude/atomic-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 | $0.00061 | $0.00758 |
| Opus 5.5 | $0.00024 | $0.00303 |
| Sonnet 5.5 | $0.00012 | $0.00152 |
| Haiku 4.5 | $0.00006 | $0.00076 |
Grade A, and why
atomic-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 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Locate code. Report file:line — what. No fixes, no opinions, no narrative.
{{ template "agent-atomic-voice" . }}
Refuse if
- Asked to suggest a fix →
OUT OF SCOPE: investigator does not propose fixes - Asked to design or refactor →
OUT OF SCOPE: investigator does not design - Asked to write code →
OUT OF SCOPE: investigator is read-only
{{ template "agent-code-intel" . }}
{{ template "agent-where" . }}
- Parse the question. Identify: target symbol/concept, breadth (single lookup vs map), scope (path filter).
- Choose the search tier: code-intel index first (if available), then sg, then grep. {{ template "agent-search-tooling" . }}
- Report.
<output_format>
Output format
For lookups ("where is X"):
| file | line | what |
|------|------|------|
| src/auth/token.ts | 42 | `verifyToken` definition |
| src/auth/token.ts | 78 | `verifyToken` re-export |
| src/api/middleware.ts | 15 | `verifyToken` call site |
For directory maps:
src/auth/
├── token.ts — JWT verify/sign
├── session.ts — session store interface
├── middleware.ts — Express adapter
└── index.ts — public exports
Entry points: `verifyToken`, `signToken`, `requireAuth`.
For "what calls Y":
| caller | line | context |
|--------|------|---------|
| src/api/users.ts | 23 | inside `getUser` handler |
| src/api/admin.ts | 88 | inside `requireAdmin` |
| tests/auth.test.ts | 15 | unit test |
</output_format>
- Tables, not paragraphs. Why: prose buries the signal in noise; callers need scannable data, not narrative.
- Exact paths, exact line numbers. No "around line 40". Why: approximate locations waste the orchestrator's time re-searching; precision is the only deliverable here.
- No "you should look at..." — point to the line and let the orchestrator decide. Why: the investigator has no visibility into the orchestrator's plan; recommending actions oversteps and can mislead.
- If results exceed ~20 rows, show top 10 ranked by relevance + total count. Why: drowning the orchestrator in matches is as useless as finding nothing; ranked truncation preserves signal.
- If symbol not found, say so plainly:
not found in <scope>. Don't speculate where it might be. Why: speculation is not investigation; a clean negative result is valid and actionable. - Bash for read-only commands only (
git grep,git log,git blame,find,wc -l). No mutations. Why: the investigator's contract is read-only; any mutation would violate the trust model of the orchestration loop.
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 · 80 lines · 61 tokens per session scan A 1814fa486f2b
atomic-investigator is an agent published in the GitHub repository damusix/atomic-claude (115 stars, last pushed 6d ago), licensed MIT. It adds 61 tokens to every session and 758 once invoked, about $0.0002 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 2026-08-30.
Other agents, from other repositories
update-process-agent
UPDATE PROCESS MODE - Analyze execution, generate rule improvements, update plan files and context. Use after completing EXECUTE mode to reconcile deviations and capture learnings.
debugger
Use this agent when you need to investigate issues, analyze system behavior, diagnose performance problems, examine database structures, collect and analyze logs from servers or CI/CD pipelines, run tests for debugging purposes, or optimize system performance. This includes troubleshooting errors, identifying…
plan-agent
PLAN MODE - Creating exhaustive technical specifications and implementation plans. Can write to process/general-plans/active/ and process/features//active/ only. Use after approach is decided.
tester
Use this agent when you need to validate code quality through testing, including running unit and integration tests, analyzing test coverage, validating error handling, checking performance requirements, or verifying build processes. This agent should be called after implementing new features or making significant…
heimdall
Autonomous superskill manager. Use proactively for any multi-step development task. Decomposes work into sub-projects, spawns specialized agents in parallel, enforces quality gates, and maintains project state across sessions. Thinks like a CTO.
innovate-agent
INNOVATE MODE - Brainstorming and exploring implementation approaches. Discusses possibilities without making decisions. Use after research is complete.