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-update-pullnpx skills add amonstack/gitea_mcp --skill gitea-update-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 | $0.00084 | $0.00533 |
| Opus 5 | $0.00042 | $0.00267 |
| Sonnet 5 | $0.00017 | $0.00107 |
| Haiku 4.5 | $0.00008 | $0.00053 |
Grade A, and why
gitea-update-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-update-pull
Edit one pull request's fields or change its state. Tools: get_pull_request, update_pull_request.
Prerequisites
- Resolve
owner+repo: pass explicitly, elseGITEA_DEFAULT_OWNER/GITEA_DEFAULT_REPO, elseresolve_repo(gitea-resolve-repo). - There is NO optimistic locking — always read current state first.
Flow
- READ CURRENT:
get_pull_request({ index })—index= PRnumber(URL #N → N), never the internalid. - APPLY:
update_pull_request({ index, ...changedFields }).
update_pull_request
- RULES: PATCH — only fields you pass change; omit = unchanged. To CLEAR a field pass its EMPTY form, do NOT omit it:
milestone: 0clears the milestone,assignees: []clears assignees. Useassignees(array), not the deprecatedassignee. State values areopen|closed. - CLOSE WITHOUT MERGING:
update_pull_request({ index, state: "closed" }). This closes the PR but does NOT merge it — the commits stay on theheadbranch. Reopen later withstate: "open". - WIP TOGGLE: to mark work-in-progress, prefix the title with
WIP:or[WIP]. To mark ready, remove the prefix. Pass the full newtitle. - RETARGET:
basechanges the target branch. RARELY REVERSIBLE — confirm with the user before retargeting; it can invalidate reviews and conflict checks. - NOT FOR single-label changes:
labelshere are IDs and REPLACE the entire set — to add/remove one label useadd_issue_labels/remove_issue_label(gitea-label-issue, PR #N == Issue #N). - CHECK FIRST:
get_pull_requestfor current values if state may have changed since your last read; state the intended change to the user before writing.
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 · 25 lines · 84 tokens per session scan A 3634013abbbd
gitea-update-pull is a skill published in the GitHub repository amonstack/gitea_mcp (1 stars, last pushed 9d ago), licensed MIT. It adds 84 tokens to every session and 533 once invoked, about $0.0004 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.
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…
agent-host-chat-contributions
Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.
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.