ralphinho-rfc-pipeline

ralphinho-rfc-pipeline is a skill for Claude Code, Codex from JunMystery/Agent-Guidance-Python. It costs 28 tokens per session (343 once invoked), scanned A, a copy of ralphinho-rfc-pipeline, MIT.

A workflow for splitting a large feature into independently checked work units that multiple agents can implement and merge. An RFC is a written technical plan, and a DAG is a dependency map showing which units must come first.

In plain words
What is it for?
Use it to plan multi-agent feature work, assign dependent units, run validation and reviews, manage a merge queue, and perform final integration checks.
Why use it?
It reduces coordination problems on large changes by making scope, dependencies, tests, risks, and recovery steps explicit before work is merged.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to plan multi-agent feature work, assign dependent units, run validation and reviews, manage a merge queue, and perform final integration checks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/junmystery/agent-guidance-python/ralphinho-rfc-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 JunMystery/Agent-Guidance-Python --skill ralphinho-rfc-pipeline
Clone the repo
git clone --depth 1 https://github.com/JunMystery/Agent-Guidance-Python

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 ralphinho-rfc-pipeline

README.md
[![agentmods](https://agentmods.dev/badge/skills/junmystery/agent-guidance-python/ralphinho-rfc-pipeline/github.svg)](https://agentmods.dev/skills/junmystery/agent-guidance-python/ralphinho-rfc-pipeline)
Your own site
<a href="https://agentmods.dev/skills/junmystery/agent-guidance-python/ralphinho-rfc-pipeline"><img src="https://agentmods.dev/badge/skills/junmystery/agent-guidance-python/ralphinho-rfc-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 ralphinho-rfc-pipeline

Your own site · 80×15
<a href="https://agentmods.dev/skills/junmystery/agent-guidance-python/ralphinho-rfc-pipeline"><img src="https://agentmods.dev/badge/skills/junmystery/agent-guidance-python/ralphinho-rfc-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 343 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 89% copy Near-identical to another mod 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 $0.00028 $0.00343
Opus 5 $0.00014 $0.00171
Sonnet 5 $0.00006 $0.00069
Haiku 4.5 $0.00003 $0.00034

Measured 5d ago against content hash 3564f14e56b1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

ralphinho-rfc-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 5d 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.

Origin

This is a copy

89% identical to ralphinho-rfc-pipeline — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/ralphinho-rfc-pipeline/SKILL.md · 68 lines

What it actually says

Ralphinho RFC Pipeline

Inspired by humanplane style RFC decomposition patterns and multi-unit orchestration workflows.

Use this skill when a feature is too large for a single agent pass and must be split into independently verifiable work units.

Pipeline Stages

  1. RFC intake
  2. DAG decomposition
  3. Unit assignment
  4. Unit implementation
  5. Unit validation
  6. Merge queue and integration
  7. Final system verification

Unit Spec Template

Each work unit should include:

  • id
  • depends_on
  • scope
  • acceptance_tests
  • risk_level
  • rollback_plan

Complexity Tiers

  • Tier 1: isolated file edits, deterministic tests
  • Tier 2: multi-file behavior changes, moderate integration risk
  • Tier 3: schema/auth/perf/security changes

Quality Pipeline per Unit

  1. research
  2. implementation plan
  3. implementation
  4. tests
  5. review
  6. merge-ready report

Merge Queue Rules

  • Never merge a unit with unresolved dependency failures.
  • Always rebase unit branches on latest integration branch.
  • Re-run integration tests after each queued merge.

Recovery

If a unit stalls:

  • evict from active queue
  • snapshot findings
  • regenerate narrowed unit scope
  • retry with updated constraints

Outputs

  • RFC execution log
  • unit scorecards
  • dependency graph snapshot
  • integration risk summary
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. 5d ago First seen · 68 lines · 28 tokens per session scan A 3564f14e56b1

Subscribe to this mod's changes

ralphinho-rfc-pipeline is a skill published in the GitHub repository JunMystery/Agent-Guidance-Python (2 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 343 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to ralphinho-rfc-pipeline, differing in 9 lines, and is treated as a copy.

Related

Other skills, from other repositories

daily-briefing

Start your day with a prioritized CRM briefing — works for any monday CRM setup: pipeline, contacts, accounts, leads, or no board at all. Use when someone says 'morning briefing', 'daily brief', 'what's on my plate today', 'catch me up on my deals', 'what needs attention', 'what needs my attention', 'anything urgent…

mondaycom/mcp · 106 tokens

implement-feature

Implement an approved feature plan with fresh-context slices, TDD, evidence, and PR-ready output.

HoangNguyen0403/agent-skills-standard · 23 tokens

Technical Debt Tracking with PMAT

Tracks and manages technical debt using PMAT (Pragmatic AI Labs MCP Agent Toolkit). Use this skill when: User asks about technical debt, TODO comments, or code quality issues Planning sprint work and need to prioritize debt repayment Conducting code audits or technical debt assessments Tracking debt accumulation…

paiml/paiml-mcp-agent-toolkit · 123 tokens

pipefy-members-email-webhooks

Use this skill when the user wants to manage pipe membership, send or read card inbox emails, use email templates, or manage webhooks. Covers 12 MCP tools.

pipefy/ai-toolkit · 41 tokens

orchardcore-admin-menu

Skill for creating admin menus in Orchard Core. Covers admin menu content types, link, content type list, and placeholder admin node types, admin menu deployment, permissions, custom admin node development with TreeNode base class, and admin menu rendering. Use this skill when requests mention Orchard Core Admin Menu…

CrestApps/CrestApps.AgentSkills · 193 tokens

issue-management

Create, update, list and search GitHub issues and PRs, list a repository's labels, run milestones, and check for duplicates.

saidsef/mcp-github-pr-issue-analyser · 27 tokens