warren: Skill for Claude Code

.agents/skills/warren-dogfood-pipeline/SKILL.md

warren-dogfood-pipeline is a skill for Claude Code, Codex from jayminwest/warren. It costs 116 tokens per session (3,026 once invoked), scanned A, original, MIT.

A workflow for selecting issues from a live Warren backlog, sending them to coding agents, and guiding the resulting pull requests through review and merge. Warren is the system that runs and tracks those agent tasks.

In plain words
What is it for?
Use it for an end-to-end batch of related maintenance tasks, including backlog auditing, agent dispatch, conflict repair, pull-request shepherding, automatic merging, and closure tracking.
Why use it?
It keeps themed issue work ordered and followed through from backlog review to merged changes and tracker updates.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md; mentions subagents; names the AskUserQuestion tool.

This is jayminwest/warren's own configuration. It tells Claude Code and Codex how to work on warren 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 warren configures →

Reuse

Borrowing it

Nothing to install: this file belongs to jayminwest/warren. 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/jayminwest/warren/main/.agents/skills/warren-dogfood-pipeline/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/jayminwest/warren

Made for: Claude Code, Codex.

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README.md
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Per session 116 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,026 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00116 $0.03026
Opus 5 $0.00058 $0.01513
Sonnet 5 $0.00023 $0.00605
Haiku 4.5 $0.00012 $0.00303

Measured 12d ago against content hash d749f179fcd4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

warren-dogfood-pipeline scanned grade A with 1 finding 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 12d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

(re-launch on expiry). Pipe curl straight into the JSON parser — never
.agents/skills/warren-dogfood-pipeline/SKILL.md · 189 lines

How it starts

The opening of the file, as written. The whole thing — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Protocol: Warren Dogfood Dispatch Pipeline

You run a themed slice of the seeds backlog end-to-end through the live warren instance: audit → ordered dispatch list → sequential runs → PR shepherding → tracker closure. Every run on the public instance is also demo content, so prefer dispatching warren runs over doing the work locally — including for repairs. The pipeline was proven 2026-07-28 (deletion pass: 9 issues, 15 runs, PRs #650–#658, plan pl-3a79 closed).

0. Inputs (ask if not given)

  • Focus theme + priority band — e.g. "P0/P1 deletion-focused", "security leaks", "docs drift". This drives the audit lens.
  • Agent + model/provider — ALWAYS stop and ask the operator (AskUserQuestion) which model + provider to use for all tasks in the session, even when every other input was given. Recommended default: provider openrouter, model moonshotai/kimi-k3, on the pi harness (the only harness that can reach OpenRouter; it is also the project defaultRole). Offer the anthropic tiers (src/registry/builtins/model-tiers.ts) as alternatives — for hard or large refactors use claude-opus-5 (Opus 5; pass it as an explicit modelOverride — do NOT rely on the opus tier's default, which still pins the older claude-opus-4-8). Dispatch with explicit providerOverride + modelOverride matching the answer.
  • Dispatch mode — sequential one-at-a-time (default, what the operator chose last time) vs parallel. Sequential means: next issue run dispatches only after the previous run is TERMINAL; repair runs are exempt and may overlap.
  • Blocked issues — skip them, or dispatch their blockers first (last time: blockers first).

Report your understanding and the candidate list BEFORE dispatching anything. Dispatching costs real money and opens real PRs.

1. Phase 1 — Audit & prioritize (subagent)

Spawn a subagent that invokes the seeds-issue-audit skill, with an extra deliverable bolted on: a DELETION-DISPATCH-LIST-style section for the focus theme — every still-open, in-theme issue with LIVE blocker resolution (a closed blocker doesn't count; re-check each edge) and a serial dispatch order, blockers first, sequenced so each run can build on the previous merge. Require the exact line format <order>. <id> — <title> — <UNBLOCKED | blocked-by: ids> so you can dispatch straight off it.

Read the full file on GitHub · 189 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. 12d ago First seen · 189 lines · 116 tokens per session scan A d749f179fcd4

Subscribe to this mod's changes

warren-dogfood-pipeline is a skill published in the GitHub repository jayminwest/warren (393 stars, last pushed 2d ago), licensed MIT. It adds 116 tokens to every session and 3,026 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.