contribution-pipeline

contribution-pipeline is a skill for Claude Code, Codex from magnus919/hermes-profiles. It costs 63 tokens per session (2,587 once invoked), scanned A, original, MIT.

A five-stage workflow for taking a software issue through testing, security checks, clean-environment verification, documentation, and a pull request—a proposed code change for maintainers to review.

In plain words
What is it for?
Handling an issue from assignment through a merge-ready pull request, including test-quality review, secret scanning, clean-room checks, documentation, and project knowledge caching.
Why use it?
It breaks contribution work into checks with concrete pass-or-fail criteria, reducing the chance of submitting untested, insecure, or poorly documented changes.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for hermes-agent. Also seen: mentions AGENTS.md; built for hermes-agent.

Good fit Handling an issue from assignment through a merge-ready pull request, including test-quality review, secret scanning, clean-room checks, documentation, and project knowledge caching.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/magnus919/hermes-profiles/contribution-pipeline
Install

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.

Any agent
npx skills add magnus919/hermes-profiles --skill contribution-pipeline
Clone the repo
git clone --depth 1 https://github.com/magnus919/hermes-profiles

Made for: Claude Code, Codex.

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 contribution-pipeline

README.md
[![agentmods](https://agentmods.dev/badge/skills/magnus919/hermes-profiles/contribution-pipeline/github.svg)](https://agentmods.dev/skills/magnus919/hermes-profiles/contribution-pipeline)
Your own site
<a href="https://agentmods.dev/skills/magnus919/hermes-profiles/contribution-pipeline"><img src="https://agentmods.dev/badge/skills/magnus919/hermes-profiles/contribution-pipeline/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 contribution-pipeline

Your own site · 80×15
<a href="https://agentmods.dev/skills/magnus919/hermes-profiles/contribution-pipeline"><img src="https://agentmods.dev/badge/skills/magnus919/hermes-profiles/contribution-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,587 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 $0.00063 $0.02587
Opus 5 $0.00032 $0.01293
Sonnet 5 $0.00013 $0.00517
Haiku 4.5 $0.00006 $0.00259

Measured 11d ago against content hash 84461b23c35b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

contribution-pipeline 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.

skills/contribution-pipeline/SKILL.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Contribution Pipeline

Full lifecycle from assigned issue to merged PR. Five phases with concrete, falsifiable gates — no LLM-judged rubber stamps. Every phase produces an artifact that the next phase consumes. Every gate has a criterion that can fail.

This is a skill bundle. The orchestrator routes to sub-skills for specialized domains:

Sub-Skill Domain When Loaded
contribution-security Static analysis, secrets scanning, disclosure policies P3.5 Security Gate
contribution-test-quality Test design, change-detector prevention, scorecard P2 Test Quality Gate
contribution-documentation Code comments, commits, CHANGELOG, README, Mermaid P2 Documentation + P4 PR Body
contribution-clean-room Docker/VM verification, CI fingerprinting, environment classification P3 Clean-Room Verification
contribution-vault-integration Project fingerprint caching, knowledge graph persistence P0 Caching + Cross-session

Trigger Patterns

The skill accepts input through four patterns:

Pattern Input Example
Issue-driven (primary) Issue URL or owner/repo#number https://github.com/org/repo/issues/42
Discovery-driven Repo URL + issue description "Found a bug in org/repo: X crashes when Y is null"
Kanban-driven Kanban card with issue_url + repo metadata Card body parsed from structured fields
Cohort-driven Multiple issue URLs sharing root cause Consolidation detected → omnibus PR pattern

Pre-flight checks before any phase begins:

  • Issue exists and is open (not closed, not a discussion/RFC)
  • No open PR already handles this issue
  • No WIP PR in flight for this project (WIP limit: 1 per project, except <10-line fixes)
  • Project's AI contribution policy allows agent-assisted contributions (check AGENTS.md, AI_POLICY.md)
  • If this is a follow-up to an existing PR, verify that PR's merge status first. A PR with state: MERGED means branch fresh from main — do NOT push follow-up commits to a merged branch. A PR with state: OPEN means push to the same branch and update the PR body. Check via gh pr view <number> --json state,mergedAt.

Read the full file on GitHub · 153 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 11d ago First seen · 153 lines · 63 tokens per session scan A 84461b23c35b

Subscribe to this mod's changes

contribution-pipeline is a skill published in the GitHub repository magnus919/hermes-profiles (169 stars, last pushed 2mo ago), licensed MIT. It adds 63 tokens to every session and 2,587 once invoked, about $0.0003 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 2026-08-30.

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