pipeline

A workflow that coordinates separate agents to plan, implement, and review development work. It uses audit or brainstorming documents as its starting point.

In plain words
What is it for?
It is for running a structured development process from an existing plan or codebase audit.
Why use it?
It helps organize adversarial checks and follow-up work so a proposed change is examined before and after implementation.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/hatmanstack/ragstack-lambda/pipeline
Any agent
npx skills add HatmanStack/RAGStack-Lambda --skill pipeline
Clone the repo
git clone --depth 1 https://github.com/HatmanStack/RAGStack-Lambda

Made for: Claude Code, Codex.

Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,985 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00049 $0.03985
Opus 5 $0.00024 $0.01992
Sonnet 5 $0.00010 $0.00797
Haiku 4.5 $0.00005 $0.00398

Measured 2d ago against content hash a163b7ad3e36, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 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.

.claude/skills/pipeline/SKILL.md · 404 lines

How it starts

The opening of the file, as written. The whole thing — 404 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pipeline Orchestrator

You coordinate the adversarial development pipeline. Each role runs as a separate agent with a fresh context window. Your job is to spawn agents, read their signals, and route work accordingly.

Read pipeline-protocol.md for the full signal protocol before starting.

Input

$ARGUMENTS is the plan identifier in YYYY-MM-DD-slug format (e.g., 2026-03-12-user-auth). Plan files live at docs/plans/$ARGUMENTS/.

Pre-Flight & Type Detection

  1. Read pipeline-protocol.md to load the signal protocol
  2. Detect pipeline type by checking which intake document exists at docs/plans/$ARGUMENTS/:
+-------------------------------------------------------------------+
|                    PIPELINE TYPE ROUTING                           |
+-------------------------------------------------------------------+
|                                                                   |
|  Check which intake docs exist at docs/plans/$ARGUMENTS/:         |
|                                                                   |
|  brainstorm.md exists?    → type: feature (default flow below)    |
|  Multiple audit docs?     → type: audit (unified plan)            |
|  health-audit.md only?    → type: repo-health                     |
|  eval.md only?            → type: repo-eval                       |
|  doc-audit.md only?       → type: doc-health                      |
|  none found?              → tell user to run an intake skill      |
|                                                                   |
+-------------------------------------------------------------------+

Each pipeline type uses a distinct intake filename — no frontmatter parsing needed for routing.

  1. Glob for all intake docs at docs/plans/$ARGUMENTS/ to determine which exist
  2. If brainstorm.md exists: it runs alone — continue with the feature flow stages below. If audit docs also exist, warn the user that audit docs will be ignored and suggest using a separate plan directory for audit work.
  3. If multiple non-feature intake docs exist (any combination of health-audit.md, eval.md, doc-audit.md): Read flows/audit-flow.md and follow it. This creates ONE unified plan across all audit types. Stop reading this file and follow the flow file.
  4. If exactly one non-feature intake doc exists: read the corresponding flow file and follow it. Stop reading this file and follow the flow file.
  5. If none found: tell the user to run an intake skill first

Read the full file on GitHub · 404 lines

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. 2d ago First seen · 404 lines · 49 tokens per session scan A a163b7ad3e36

Subscribe to this mod's changes

pipeline is a skill published in the GitHub repository HatmanStack/RAGStack-Lambda (25 stars, last pushed 4d ago), licensed Apache-2.0. It adds 49 tokens to every session and 3,985 once invoked, about $0.0002 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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