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 sandraschi/gitee-mcp --skill gitee-expertgit clone --depth 1 https://github.com/sandraschi/gitee-mcpWrote 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/sandraschi/gitee-mcp/gitee-expert)<a href="https://agentmods.dev/skills/sandraschi/gitee-mcp/gitee-expert"><img src="https://agentmods.dev/badge/skills/sandraschi/gitee-mcp/gitee-expert/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/sandraschi/gitee-mcp/gitee-expert"><img src="https://agentmods.dev/badge/skills/sandraschi/gitee-mcp/gitee-expert.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 | $0.00643 |
| Opus 5 | $0.00000 | $0.00321 |
| Sonnet 5 | $0.00000 | $0.00129 |
| Haiku 4.5 | $0.00000 | $0.00064 |
Grade A, and why
gitee-expert 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gitee Expert - using gitee-mcp well
You have access to Gitee (gitee.com), China's largest GitHub-style platform. This skill teaches the effective workflows for discovery, intel, translation and webhook monitoring.
What the server does
- Discovery:
gitee_explore- the "humming" radar ranks popular seed repos by real commit/star/forks activity (works anonymously, rate-limited to ~60 requests/hour, responses are cached ~10 minutes). Token tier adds top-starred / top-forked via repo search. - Intel:
gitee_repo- details, README, languages, commits, file contents and branches for any public repo. - Search:
gitee_search- users (anonymous) and repos (token tier). - Translation:
gitee_translate- Chinese to English via a local LLM (Ollama). Falls back to a dictionary gloss honestly flagged as partial. - Webhooks:
gitee_webhook- feed of inbound push/star/fork events.
Workflows
1. "What is humming on Gitee?"
Call gitee_explore(operation="humming", limit=10) first. Repos carry
activity_score, stargazers_count, forks_count, language,
pushed_at and recent commits. For a language focus pass
language="Python". For bilingual summaries pass translate=True - this
invokes the local LLM per repo, so use it with limit <= 10.
2. Dig into one repo
gitee_repo(operation="details", owner=..., repo=...) first, then
languages for the tech mix, readme for the story, commits for recent
velocity. READMEs are often Chinese - gloss with gitee_translate.
3. Find a user or project
gitee_search(operation="users", query=...) works without a token.
Repo search requires GITEE_TOKEN; the tool returns an actionable hint when
it is missing - do not fake results.
4. Track events
If the user configured a repo webhook, gitee_webhook(operation="list")
shows push/star/fork events with a one-line summary each.
Important notes
- Rate limits: anonymous tier is 60 requests/hour. Prefer
limit<= 20 and avoid translate=True on large lists unless the user asked for it. - Honesty: anonymous tier cannot return the platform trending page (Gitee blocks scraping). The radar's seed-based ranking is real data, not a simulation - dead seeds are dropped and reported.
- Chinese content: descriptions are commonly Chinese; translation is best-effort and flagged when the provider is unavailable.
- Tier upgrade: one line in
.env(GITEE_TOKEN=..., free, no credit card) unlocks repo search and higher limits.
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.
- 9d ago First seen · 58 lines · 0 tokens per session scan A c1b45fd31658
gitee-expert is a skill published in the GitHub repository sandraschi/gitee-mcp (2 stars, last pushed 9d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 643 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.
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