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/amonstack/gitea_mcp/gitea-summarize-pullnpx skills add amonstack/gitea_mcp --skill gitea-summarize-pullgit clone --depth 1 https://github.com/amonstack/gitea_mcpWhat 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 | $0.00098 | $0.00497 |
| Opus 5 | $0.00049 | $0.00249 |
| Sonnet 5 | $0.00020 | $0.00099 |
| Haiku 4.5 | $0.00010 | $0.00050 |
Grade A, and why
gitea-summarize-pull 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 2d 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
gitea-summarize-pull
Read a pull request and its discussion, then synthesize. Tools: get_pull_request, list_pull_commits, list_pull_files, list_comments.
Prerequisites
- Resolve
owner+repo: pass explicitly, elseGITEA_DEFAULT_OWNER/GITEA_DEFAULT_REPO, elseresolve_repo(gitea-resolve-repo).
Flow
get_pull_request({ index })—index= PRnumber(URL #N → N), never the internalid. Read title, body,base/head,mergeable,merged,draft, labels, milestone.list_pull_commits({ index })— the commit history (page iflength === limit).list_pull_files({ index })— the diff scope: filenames, statuses, additions/deletions (page iflength === limit).list_comments({ index })— the review discussion. PR #N == Issue #N — the comment endpoints are shared.
list_comments — TRUNCATION TRAP
- This tool passes NO page/limit and returns at most the server's default page size. For long review threads the list is SILENTLY TRUNCATED. If the
commentscount (fromget_pull_request) exceeds the number returned, warn that part of the thread is missing and do NOT claim a complete summary.
Synthesis
- Report: the PR state (open/closed/merged/draft), WHAT it changes (from commits + files), the mergeability/conflict status, then the thread's consensus / decisions / open questions. Attribute by author. Flag unresolved review feedback or blocking questions explicitly — do not paper over disagreement. End with one recommended NEXT ACTION (merge / request changes / close).
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.
- 2d ago First seen · 24 lines · 98 tokens per session scan A 67d6f84bbb28
gitea-summarize-pull is a skill published in the GitHub repository amonstack/gitea_mcp (1 stars, last pushed 9d ago), licensed MIT. It adds 98 tokens to every session and 497 once invoked, about $0.0005 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…