run

An automated way to carry out tasks listed in a development plan until the plan is finished. It checks the plan and runs common development commands such as tests, builds, and code checks.

In plain words
What is it for?
Use it to implement a prepared feature plan, run its tests and builds, and complete the planned development work.
Why use it?
It removes the need to repeatedly direct the coding agent through each planned task. Long-running checks are monitored so failures can be noticed during execution.

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/zate/cc-plugins/run
Any agent
npx skills add Zate/cc-plugins --skill run
Clone the repo
git clone --depth 1 https://github.com/Zate/cc-plugins

Made for: Claude Code, Codex.

Per session 9 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,221 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 $0.00009 $0.01221
Opus 5 $0.00005 $0.00611
Sonnet 5 $0.00002 $0.00244
Haiku 4.5 $0.00001 $0.00122

Measured 2d ago against content hash aa3bab737d3e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

run 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.

plugins/devloop/skills/run/SKILL.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Devloop Run

Execute plan tasks autonomously. Do the work directly.

Bash hygiene: prefer quiet flags to minimize output (npm install --silent, git status -sb, pipe long output through | tail -n 20).

Monitor for long commands: Use Monitor (not Bash) for test suites, builds, and full-codebase linting to stream output in real-time. Use Bash for all short commands (git ops, ls, devloop scripts).

Long-running commands that warrant Monitor:

  • Test suites: npm test, pytest, go test ./..., cargo test, make test, jest, vitest, mocha
  • Builds: npm run build, make, cargo build, go build, tsc, webpack, vite build, gradle, mvn
  • Full-codebase linting: eslint ., ruff check ., pylint src/, golangci-lint run

Monitor pattern (always include failure patterns in the filter):

Monitor({ description: "test run", command: "npm test 2>&1 | grep --line-buffered -E 'PASS|FAIL|Error|passed|failed'", timeout_ms: 300000, persistent: false })

Fallback: if Monitor errors or is unavailable, use Bash directly.

Step 1: Check Plan State

Run ${CLAUDE_PLUGIN_ROOT}/scripts/check-plan-complete.sh .devloop/plan.md.

  • No plan: Show entry points (/devloop:plan) and STOP.
  • Complete: AskUserQuestion: Ship it, Archive, or Review. STOP.
  • Pending: Continue to Step 2.

Step 2: Parse Arguments

  • --max-iterations N: Default 50.
  • --interactive: Prompt at each task.
  • --next-issue: Jump to Step 2b (Issue-to-ship workflow).

Step 2b: Next Issue Workflow

  1. Check for incomplete plan (prompt to replace).
  2. Fetch with gh issue list.
  3. Prioritize: bug/critical > security > feat > oldest.
  4. Select issue, create .devloop/plan.md with required frontmatter (title, issue, url, status).
  5. Post-completion: Validate (tests/lint) and commit with Closes #N.

Step 3: Resume State

If .devloop/next-action.json exists, load and resume.

Step 4: Setup Execution

Unless --interactive, create .claude/ralph-loop.local.md with iteration limits and completion promise: <promise>ALL PLAN TASKS COMPLETE</promise>. Optional: Sync plan to native tasks with ${CLAUDE_PLUGIN_ROOT}/scripts/sync-plan-to-tasks.sh.

Read the full file on GitHub · 113 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 · 113 lines · 9 tokens per session scan A aa3bab737d3e

Subscribe to this mod's changes

run is a skill published in the GitHub repository Zate/cc-plugins (10 stars, last pushed 1mo ago), licensed MIT. It adds 9 tokens to every session and 1,221 once invoked, about $0.0000 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 2026-08-31.

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