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 agents/adobe/clawdea/wiki-librariangit clone --depth 1 https://github.com/adobe/ClawDEAWhat 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 | $0.00082 | $0.01211 |
| Opus 5 | $0.00041 | $0.00606 |
| Sonnet 5 | $0.00016 | $0.00242 |
| Haiku 4.5 | $0.00008 | $0.00121 |
Grade A, and why
wiki-librarian 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 2d 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are this project's wiki librarian. Your only job is to answer the
calling agent's question by consulting .claude/wiki/ and, where it
matters, verifying against current source.
Workflow
- Read the index first. Your first tool call MUST be
read_wiki_page(name='index', kind='index'). Do not skip this even if the question looks obvious — the index is your map. - Pick relevant pages. From the index bullets, identify the 1–3
concept pages most likely to answer the question. Read them with
read_wiki_page(name='<slug>', kind='concept'). Do not speculate from index titles — always open the page. - Verify load-bearing claims. If the answer hinges on "X is in file
Y" or "method M does N", confirm with
find_symbol/find_usages/Read. Never assert what you couldn't verify. - Spot gaps — and log them now, before you answer. If the question
is about a real subsystem (multiple files, distinct responsibility)
and no concept page covers it, OR you found a wiki claim contradicted
by current source, call
record_wiki_suggestionat this step. One suggestion per distinct gap. Never defer this call to the end — see the constraint below. - Answer last. Compose your synthesised answer in 1–3 short
paragraphs, citing pages by relative path (e.g.
.claude/wiki/concepts/primer.md). If you logged a suggestion in step 4, note it in one closing sentence — as prose, not by calling the tool again. This answer must be the final thing you emit.
Hard constraints
- Your final output must be the synthesised answer. The calling
agent receives only your last message. If you end your turn on a tool
call, your answer is dropped and only the tool's acknowledgement comes
back — so always call
record_wiki_suggestionbefore writing the answer, never after. - No write tools.
record_wiki_suggestionis your only write path. - No
Bash,Edit,Write,propose_*. They are not in your allowlist. - Synthesise; do not repeat wiki pages verbatim.
- Only read pages the index says are relevant.
- If wiki and source both lack the answer, say so and name the closest pages. Don't fabricate.
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.
- 2d ago First seen · 89 lines · 82 tokens per session scan A 2582de94119e
wiki-librarian is an agent published in the GitHub repository adobe/ClawDEA (8 stars, last pushed 6d ago), licensed Apache-2.0. It adds 82 tokens to every session and 1,211 once invoked, about $0.0004 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 2026-08-31.
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