Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/LouisLau-art/multi-agent-skills-catalognpx agentmods add skills/louislau-art/multi-agent-skills-catalog/catalog-maintenanceWrote 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/louislau-art/multi-agent-skills-catalog/catalog-maintenance)<a href="https://agentmods.dev/skills/louislau-art/multi-agent-skills-catalog/catalog-maintenance"><img src="https://agentmods.dev/badge/skills/louislau-art/multi-agent-skills-catalog/catalog-maintenance/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/louislau-art/multi-agent-skills-catalog/catalog-maintenance"><img src="https://agentmods.dev/badge/skills/louislau-art/multi-agent-skills-catalog/catalog-maintenance.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 | $0.00020 | $0.00388 |
| Opus 5.5 | $0.00008 | $0.00155 |
| Sonnet 5.5 | $0.00004 | $0.00078 |
| Haiku 4.5 | $0.00002 | $0.00039 |
Grade A, and why
catalog-maintenance 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 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.
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
Catalog Maintenance Skill
用于维护多代理技能目录的工作流。
可用命令
刷新所有排名数据
/catalog-maintenance refresh
拉取最新的 Context7 技能排名、库文档排名和 skills.sh 排行榜数据。
验证技能清单
/catalog-maintenance validate
验证 skills_manifest.csv 格式完整性，运行 frontmatter 验证器。
审核去重
/catalog-maintenance audit
根据去重策略审核技能清单，识别重叠和重复项。
构建配置文件
/catalog-maintenance build-profile <profile-name>
构建并测试指定的配置文件安装。
工作流
完整更新流程
- 刷新排名数据
- 验证清单格式
- 审核去重
- 提交更改
配置文件更新流程
- 编辑
profiles/*.txt - 验证配置文件组合
- 测试安装
- 更新文档
快速开始
运行完整维护：
python3 scripts/fetch_context7_skill_rankings.py --min-installs 0 --output-csv data/context7_ranked_skills_all.csv --output-json data/context7_ranked_skills_all.meta.json
python3 scripts/fetch_context7_library_rankings.py --kind popular --output-csv data/context7_popular_libraries.csv --output-json data/context7_popular_libraries.meta.json
python3 scripts/validate_skills_frontmatter.py
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 · 73 lines · 20 tokens per session scan A 46133593627a
catalog-maintenance is a skill published in the GitHub repository LouisLau-art/multi-agent-skills-catalog (2 stars, last pushed yesterday), licensed MIT. It adds 20 tokens to every session and 388 once invoked, about $0.0001 per session on Opus 5.5. 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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