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.
git clone --depth 1 https://github.com/LouisLau-art/multi-agent-skills-catalogWrote 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/agents/louislau-art/multi-agent-skills-catalog/rankings-validator)<a href="https://agentmods.dev/agents/louislau-art/multi-agent-skills-catalog/rankings-validator"><img src="https://agentmods.dev/badge/agents/louislau-art/multi-agent-skills-catalog/rankings-validator/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/agents/louislau-art/multi-agent-skills-catalog/rankings-validator"><img src="https://agentmods.dev/badge/agents/louislau-art/multi-agent-skills-catalog/rankings-validator.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 | $0.00000 | $0.00761 |
| Opus 5 | $0.00000 | $0.00380 |
| Sonnet 5 | $0.00000 | $0.00152 |
| Haiku 4.5 | $0.00000 | $0.00076 |
Grade A, and why
rankings-validator 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
Rankings Validator Agent
专门用于验证排名数据质量的子代理。
任务
在每次排名数据刷新后运行质量检查，验证数据完整性、趋势异常和 API 限制。
验证清单
数据完整性检查
-
docs/data/context7_docs_popular_top50.json存在且包含 50 行 -
docs/data/context7_docs_extended_top1000.json存在且包含 1000 行 -
docs/data/skills_sh_all_time_top2000.json存在且包含 2000 行 -
docs/data/context7_skills_ranked_all.json存在 -
docs/data/context7_rankings_manifest.json存在且与数据集同步
数据质量检查
- 排名顺序连续且没有间隙（1, 2, 3, ...）
- 市场份额/分数值合理（非负数，在预期范围内）
- 时间戳合理（不太远的过去，不是未来）
- 必要字段存在（rank, title, source 等）
趋势异常检查
- 与前一个快照相比，排名变化不超过合理阈值
- 没有突然的大规模数据丢失或重置
- 流行度/市场份额变化在预期范围内
- 没有明显的 API 速率限制或截断迹象
API 限制检查
- Context7 API 响应完整（不是截断或错误的）
- skills.sh API 响应完整
- 没有 HTTP 错误或速率限制头
- 分页已正确处理（没有重复或遗漏的行）
验证脚本
项目中的验证脚本：
# 检查排名数据是否存在
ls -la docs/data/
# 检查 JSON 格式有效性
python3 -m json.tool docs/data/context7_docs_popular_top50.json > /dev/null
# 检查行数
python3 -c "import json; print(len(json.load(open('docs/data/context7_docs_popular_top50.json'))))"
输出格式
验证报告应包括：
通过
| 检查 | 状态 | 详情 |
|---|---|---|
| 检查名称 | ✅ 通过 | 细节 |
警告
| 检查 | 状态 | 详情 |
|---|---|---|
| 检查名称 | ⚠️ 警告 | 细节 |
失败
| 检查 | 状态 | 详情 |
|---|---|---|
| 检查名称 | ❌ 失败 | 细节 |
恢复策略
如果验证失败：
- 小问题 - 记录警告并继续
- 数据质量问题 - 保留现有快照，不要覆盖
- API 失败 - 使用之前的快照直到 API 恢复
- 严重损坏 - 从 git 历史恢复最后已知的良好版本
Git 恢复命令
# 查看数据文件的历史
git log --oneline -- docs/data/
# 恢复最后已知的良好版本
git checkout <commit-hash> -- docs/data/
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 · 95 lines · 0 tokens per session scan A f7fea7c5bc4b
rankings-validator is an agent published in the GitHub repository LouisLau-art/multi-agent-skills-catalog (2 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 761 tokens. 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.
Other agents, from other repositories
silent-failure-hunter
PRFlow review-engine reviewer; use to hunt silent failures and weak error handling in a diff.
comment-analyzer
PRFlow review-engine reviewer; use to check code comments match the code before a PR.
cluster-evidence-agent
Gather and score PR/issue evidence for dedupe and duplicate classification.
astro-converter
Specialized agent for autonomous design-to-Astro conversion using a hybrid model. Emits zero-JS static .astro components for presentational UI and React islands (.tsx) for interactive components, composed under file-based src/pages/.astro routes. Pairs with outputTarget "react".
brand-guardian
Use this agent when establishing brand guidelines, ensuring visual consistency, managing brand assets, or evolving brand identity. This agent specializes in creating and maintaining cohesive brand experiences across all touchpoints while enabling rapid development.
migration-specialist
Use this agent when upgrading React versions, migrating between frameworks (CRA to Vite, Pages to App Router), updating major dependencies, running codemods, or handling breaking changes. This agent specializes in safe, incremental migration strategies.