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 damusix/atomic-claude --skill atomic-debuggit 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/skills/damusix/atomic-claude/atomic-debug)<a href="https://agentmods.dev/skills/damusix/atomic-claude/atomic-debug"><img src="https://agentmods.dev/badge/skills/damusix/atomic-claude/atomic-debug/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/damusix/atomic-claude/atomic-debug"><img src="https://agentmods.dev/badge/skills/damusix/atomic-claude/atomic-debug.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00114 | $0.01496 |
| Opus 5.5 | $0.00046 | $0.00598 |
| Sonnet 5.5 | $0.00023 | $0.00299 |
| Haiku 4.5 | $0.00011 | $0.00150 |
Grade A, and why
atomic-debug 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Debug by hypothesis, not by guessing. Cheapest test first. Root cause, not symptom.
Auto-trigger on:
- Error message or stack trace pasted
- "broken", "doesn't work", "failing", "crash", "regression", "flaky"
- Test failure output
Explicit: /atomic-debug or "let's debug X".
Five steps
1. State the symptom exactly
One sentence. Quote the exact error. Note what changed recently (commit, dep, env) if known.
Symptom: `POST /users` returns 500 since commit abc1234. Stack: `TypeError: Cannot read 'id' of undefined at users.ts:42`.
1b. Locate the surface (when not already in context)
Code-intel first (when an index is present). Before dispatching an agent, try atomic code explore "<symptom as a natural-language query>" for a one-shot digest of the failure neighborhood, or atomic code callers <suspect-fn> when the symptom names a symbol. This is a single shell command — cheaper than spawning an investigator and it returns caller-graph context grep would have to reconstruct. Fall through to the investigator dispatch below only when the index is absent or the query returns nothing useful.
If the suspect code isn't already mapped in the conversation (no file:line references, no recent reads of the relevant module), dispatch atomic-investigator BEFORE forming the hypothesis table. Haiku-backed and read-only, so it's cheap. Give it a focused brief:
Locate <symptom-relevant surface>. Report file:line table.
Example: "Locate the request pipeline for POST /users — middleware order, body parsing, auth check. Report file:line table."
Use its file:line — what table as the evidence base for the hypothesis table. The investigator spends Haiku tokens so the main context (running this skill) doesn't burn Sonnet/Opus on grep work.
Skip this step when: the symptom names the exact file:line (e.g. the stack trace pinpoints it), the bug is in code already in context, or the symptom is too abstract to map (e.g. "the build is slow" — there's no surface yet, hypotheses come first).
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 · 125 lines · 114 tokens per session scan A becc4cd2545a
atomic-debug is a skill published in the GitHub repository damusix/atomic-claude (113 stars, last pushed today), licensed MIT. It adds 114 tokens to every session and 1,496 once invoked, about $0.0005 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.
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