Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add vipzhengmingming/oh-my-powers/plugin install create-llm-wikiWrote 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/vipzhengmingming/oh-my-powers/search-wiki)<a href="https://agentmods.dev/skills/vipzhengmingming/oh-my-powers/search-wiki"><img src="https://agentmods.dev/badge/skills/vipzhengmingming/oh-my-powers/search-wiki/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/vipzhengmingming/oh-my-powers/search-wiki"><img src="https://agentmods.dev/badge/skills/vipzhengmingming/oh-my-powers/search-wiki.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 | $0.00050 | $0.00393 |
| Opus 5 | $0.00025 | $0.00197 |
| Sonnet 5 | $0.00010 | $0.00079 |
| Haiku 4.5 | $0.00005 | $0.00039 |
Grade A, and why
search-wiki 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 11d 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
Search Wiki
Search the project's LLM wiki for relevant pages with ranked results.
Steps
-
Determine the wiki directory. Check if
./llm-wiki/pages/exists. If not, ask the user where the wiki is. Use that path forLLM_WIKI_DIR. -
Run the search script with the wiki directory:
LLM_WIKI_DIR=<wiki-dir> ${CLAUDE_PLUGIN_ROOT}/scripts/wiki-search.js <query>- Replace
<query>with the user's search terms - Replace
<wiki-dir>with the wiki path (e.g.llm-wikior a custom path) - The script returns JSON with
[{ file, title, score, excerpt }]
- Replace
-
Read the results. If results found, present them as a ranked list:
- Show title, relevance score, and excerpt for each result
- Offer to read the full page content
-
If no results found, suggest the user:
- Try different search terms
- Or add content with
/create-llm-wiki:add-to-wiki
-
If the user picks a result, read
<wiki-dir>/pages/<file>and answer their question based on it.
Example
User: "搜索一下数据库设计"
You: Check wiki dir → llm-wiki. Run LLM_WIKI_DIR=llm-wiki node ${CLAUDE_PLUGIN_ROOT}/scripts/wiki-search.js 数据库设计
→ Show results, ask if they want to drill in.
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.
- 11d ago First seen · 41 lines · 50 tokens per session scan A b24c073965a4
search-wiki is a skill published in the GitHub repository vipzhengmingming/oh-my-powers (5 stars, last pushed 1mo ago), licensed MIT. It adds 50 tokens to every session and 393 once invoked, about $0.0003 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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