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 agentmods add commands/narailabs/doc-wiki/atlasgit clone --depth 1 https://github.com/narailabs/doc-wikiWhat 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 | $0.00004 | $0.00235 |
| Opus 5 | $0.00002 | $0.00118 |
| Sonnet 5 | $0.00001 | $0.00047 |
| Haiku 4.5 | $0.00000 | $0.00023 |
Grade A, and why
atlas 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 3d 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.
What it actually says
Invoke the doc-wiki skill to run the /doc-wiki:atlas workflow with the user's arguments: $ARGUMENTS
Call Skill(doc-wiki, "atlas $ARGUMENTS"). The skill orchestrator reads skills/doc-wiki/SKILL.md, locates the ### /doc-wiki:atlas — Full application documentation section, and runs the eight-phase pipeline (detect state, discover topics, confirm, estimate cost, validate existing, bootstrap/refresh, synthesize globals, finalize).
If $ARGUMENTS is empty, default to the comprehensive facet set (architecture,data-model,environments,api,operations) and run interactively with phase confirmations gated by the configured autonomy mode.
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.
- 3d ago First seen · 12 lines · 4 tokens per session scan A 5363e9110bd3
atlas is a command published in the GitHub repository narailabs/doc-wiki (13 stars, last pushed 4d ago), licensed Apache-2.0. It adds 4 tokens to every session and 235 once invoked, about $0.0000 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 2026-08-30.
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