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 skills/manykarim/robotframework-agentskills/libdoc-searchnpx skills add manykarim/robotframework-agentskills --skill libdoc-searchgit clone --depth 1 https://github.com/manykarim/robotframework-agentskillsWrote 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/manykarim/robotframework-agentskills/libdoc-search)<a href="https://agentmods.dev/skills/manykarim/robotframework-agentskills/libdoc-search"><img src="https://agentmods.dev/badge/skills/manykarim/robotframework-agentskills/libdoc-search.svg" alt="Measured on agentmods" 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 | $0.00048 | $0.00414 |
| Opus 5 | $0.00024 | $0.00207 |
| Sonnet 5 | $0.00010 | $0.00083 |
| Haiku 4.5 | $0.00005 | $0.00041 |
Grade A, and why
libdoc-search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- rf-libdoc-search — 97% identical, 6 lines differ
What it actually says
Robot Framework Libdoc Search
Use this skill to search Robot Framework libraries/resources/suites for keywords that match a use case. Output JSON only.
Command
Search in standard libraries:
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/rf_libdoc.py" --library BuiltIn --library OperatingSystem --search "create temp file" --pretty
Search multiple sources with custom weights:
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/rf_libdoc.py" --library SeleniumLibrary --resource resources/common.resource --search "upload file" --weights name=0.5,short_doc=0.3,doc=0.2 --limit 10 --pretty
Notes
- Use
--library,--resource,--suite, or--spec(repeatable). Inputs are aggregated. - Search considers keyword name,
short_doc, and fulldoc. - Output contract (stable): returns
{schema_version, mode, libraries, results, query, ...}withmode="search".resultsis a single array of{library, keyword, usage, score, reasons}(search items carryscore/reasons;usageisnull). Readresultswithout branching on top-level keys. - Payload is bounded: library prose
docis not included by default — only{name, type, version, scope, doc_format, short_doc}per library. Pass--include-library-docto add the fulldoc. - Use
--tagto filter keywords by tag. - Use
--include-privateto include private keywords. - Use
--exclude-deprecatedto drop deprecated keywords.
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.
- 4d ago First seen · 32 lines · 48 tokens per session scan A 281c26a1f8ca
libdoc-search is a skill published in the GitHub repository manykarim/robotframework-agentskills (30 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 48 tokens to every session and 414 once invoked, about $0.0002 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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