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 InternScience/MolClaw --skill wikipedia-searchgit clone --depth 1 https://github.com/InternScience/MolClawWrote 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/internscience/molclaw/wikipedia-search)<a href="https://agentmods.dev/skills/internscience/molclaw/wikipedia-search"><img src="https://agentmods.dev/badge/skills/internscience/molclaw/wikipedia-search/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/internscience/molclaw/wikipedia-search"><img src="https://agentmods.dev/badge/skills/internscience/molclaw/wikipedia-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 396 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00022 | $0.03439 |
| Opus 5.5 | $0.00009 | $0.01376 |
| Sonnet 5.5 | $0.00004 | $0.00688 |
| Haiku 4.5 | $0.00002 | $0.00344 |
Grade A, and why
wikipedia-search scanned grade A with 1 finding 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
subprocess.check_call([ How it starts
The opening of the file, as written. The whole thing — 482 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Wikipedia Search Skill
This skill enables Claude to search and fetch content from Wikipedia using the MediaWiki API. It provides more reliable, structured access to Wikipedia than general web search, with support for summaries, full article content, and multi-language access.
When to Use
Use this skill when you need:
- Encyclopedic knowledge — Factual information about people, places, events, concepts
- Historical information — Well-documented historical facts, dates, and events
- Scientific and technical concepts — Definitions, explanations, and overviews
- Biographical information — Details about notable people
- Geographic information — Countries, cities, landmarks, and their details
- Quick fact verification — Cross-checking encyclopedic facts
- Structured content — Need article sections, categories, and links
- Multi-language content — Access Wikipedia in languages other than English
When NOT to Use
Avoid using this skill for:
- Current events or breaking news — Wikipedia may not be up-to-date for very recent events (use web-search instead)
- Controversial or disputed topics — Wikipedia can have bias or edit wars; use multiple sources
- Opinions or analysis — Wikipedia aims for neutral point of view, not opinion
- How-to guides or tutorials — Wikipedia is encyclopedic, not instructional (look for specialized resources)
- Code examples or technical documentation — Use official docs or specialized sites
- Personal or local information — Wikipedia only covers notable topics
- Real-time data — Stock prices, weather, sports scores (use web-search instead)
Usage
The skill is invoked by running the wiki script with a query:
python ~/.openclaw/skills/wikipedia-search/scripts/wiki.py "your query" [options]
Options
--mode [search|summary|full]— Operation mode (default: summary)search: Search for page titles matching the querysummary: Get a concise summary of a specific pagefull: Get the complete article with sections and structure
--sentences N— Number of sentences for summary mode (default: 5)--lang CODE— Language code (default: en)
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 482 lines · 22 tokens per session scan A c35ab7c6fdba
wikipedia-search is a skill published in the GitHub repository InternScience/MolClaw (38 stars, last pushed 1mo ago), licensed MIT. It adds 22 tokens to every session and 3,439 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
hr-onboarding
A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".
book-mirror
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…
exam-forecast
Analyze past exams from the same professor to surface patterns — subject weighting, recurring issue-spot traps, favored hypo types, policy-vs-doctrine mix — and forecast likely emphases for the upcoming exam. Use when the user says "what's on the exam", "analyze past exams", "predict the exam", or shares past exams.
lean-formalize
Develop and verify a mathematical proof in Lean, continue an incomplete Lean project, or audit whether it proves the original statement. Connect actual inputs to intermediate lemmas, assemble the target theorem, check its transitive axioms, and provide a reproducible handoff. Use when Lean is requested or a specific…
eli5
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.
deck-course-module
A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.