woodpecker-mcp: Skill for Claude Code

.claude/skills/verify/SKILL.md

verify is a skill for Claude Code from RikiGomes/woodpecker-mcp. It costs 26 tokens per session (442 once invoked), scanned A, original, MIT.

A testing guide for woodpecker-mcp, a local MCP server that exposes Woodpecker continuous-integration data through a standard message interface.

In plain words
What is it for?
Use it to verify JSON-RPC communication, list available tools, test environment-variable configuration, and check handling of unusual server responses.
Why use it?
It describes how to check the server’s build, startup handshake, advertised tools, configuration errors, and responses from a test Woodpecker service.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is RikiGomes/woodpecker-mcp's own configuration. It tells Claude Code how to work on woodpecker-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything woodpecker-mcp configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is | env WOODPECKER_URL=https://ci.example.com WOODPECKER_TOKEN=tok node dist/index.js.

Reuse

Borrowing it

Nothing to install: this file belongs to RikiGomes/woodpecker-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/RikiGomes/woodpecker-mcp/main/.claude/skills/verify/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/RikiGomes/woodpecker-mcp

Made for: Claude Code.

Wrote 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.

agentmods badge for verify

README.md
[![agentmods](https://agentmods.dev/badge/skills/rikigomes/woodpecker-mcp/verify/github.svg)](https://agentmods.dev/skills/rikigomes/woodpecker-mcp/verify)
Your own site
<a href="https://agentmods.dev/skills/rikigomes/woodpecker-mcp/verify"><img src="https://agentmods.dev/badge/skills/rikigomes/woodpecker-mcp/verify/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.

agentmods 80×15 button for verify

Your own site · 80×15
<a href="https://agentmods.dev/skills/rikigomes/woodpecker-mcp/verify"><img src="https://agentmods.dev/badge/skills/rikigomes/woodpecker-mcp/verify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 442 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00026 $0.00442
Opus 5 $0.00013 $0.00221
Sonnet 5 $0.00005 $0.00088
Haiku 4.5 $0.00003 $0.00044

Measured 10d ago against content hash c2a836c255f0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

verify 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 10d 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.

.claude/skills/verify/SKILL.md · 37 lines

What it actually says

Verifying woodpecker-mcp

The surface is a stdio MCP server. Build, then pipe newline-delimited JSON-RPC into the real bin entry and read stdout (protocol) / stderr (status + warnings).

npm run build   # tsc → dist/

# Handshake first, then calls; one JSON object per line:
printf '%s\n' \
  '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"probe","version":"0"}}}' \
  '{"jsonrpc":"2.0","method":"notifications/initialized"}' \
  '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"list_instances"}}' \
  | env WOODPECKER_URL=https://ci.example.com WOODPECKER_TOKEN=tok node dist/index.js

Flows worth driving:

  • Config edge cases: set env pairs (WOODPECKER_<NAME>_URL/_TOKEN) and watch stderr — incomplete named pairs warn, incomplete/malformed default pair exits 1.
  • Tool behavior against a fake Woodpecker: a throwaway node http.createServer on 127.0.0.1 works fine as WOODPECKER_URL (e.g. return HTML with status 200 to exercise the non-JSON body path).
  • tools/list output shows the advertised JSON schemas — check them after touching inputSchema definitions.

Gotchas:

  • The server keeps running after the piped stdin closes; give it sleep 1 after the last message and kill it, or tail -1 the captured stdout.
  • stdout is protocol-only; all human-readable status goes to stderr.
  • .env.woodpecker is loaded from the working directory — run from a temp dir to test that path.
Changes

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.

  1. 10d ago First seen · 37 lines · 26 tokens per session scan A c2a836c255f0

Subscribe to this mod's changes

verify is a skill published in the GitHub repository RikiGomes/woodpecker-mcp (0 stars, last pushed 7d ago), licensed MIT. It adds 26 tokens to every session and 442 once invoked, about $0.0001 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 2026-09-01.

Related

Other skills, from other repositories

operational-value-designer

Design and verify a deterministic operational-value grader for a GitHub Agentic Workflow. Use for per-run operational value, evidence attribution, maturation, baselines, and operational-value evaluators. Usage: /operational-value-designer OWNER/REPO WORKFLOW-NAME.

github/gh-aw · 60 tokens

squad-conventions

Core conventions and patterns used in the Squad codebase.

github/gh-aw · 15 tokens

deploy

Use when ready to ship — runs pre-push gates (lint, typecheck, build, tests, security sweep), commits, releases, and pushes. Standalone, never auto-invoked. Push always requires explicit confirmation. Trigger with /hyperflow:deploy, "ship it", "ready to push", "release", "cut a release", "deploy".

jeremylongshore/tons-of-skills-marketplace · 76 tokens

api-testing

Testing patterns for MCP tool/resource handlers using createMockContext and Vitest. Covers mock context options, handler testing, McpError assertions, format testing, Vitest config setup, and test isolation conventions.

cyanheads/obsidian-mcp-server · 46 tokens

add-test

Scaffold a test file for an existing tool, resource, or service. Use when the user asks to add tests, improve coverage, or when a definition exists without a matching test file.

cyanheads/obsidian-mcp-server · 41 tokens

codspeed-optimize

Autonomously optimize code for performance using CodSpeed benchmarks, flamegraph analysis, and iterative improvement. Use this skill whenever the user wants to make code faster, reduce CPU usage, optimize memory, improve throughput, find performance bottlenecks, or asks to 'optimize', 'speed up', 'make faster'…

CodSpeedHQ/codspeed · 113 tokens