quality-playbook-harness

quality-playbook-harness is a skill for Claude Code from andrewstellman/quality-playbook. It costs 157 tokens per session (2,254 once invoked), scanned A, original, Apache-2.0.

A coordinator for running Quality Playbook jobs across several code repositories from one agent session. It advances a disk-based state machine one small step at a time and lists the workers to start.

In plain words
What is it for?
Use it to dispatch workers, monitor heartbeats and job status, advance orchestration ticks, and continue runs from saved state.
Why use it?
Multi-repository runs can become stuck or lose progress when workers stop, fail, or write malformed status data. This harness records worker activity and converts those failures into visible states.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents; mentions Claude Code.

Part of the quality-playbook-harness plugin — 1 skill shipped together

Good fit Use it to dispatch workers, monitor heartbeats and job status, advance orchestration ticks, and continue runs from saved state.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/andrewstellman/quality-playbook/quality-playbook-harness
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 andrewstellman/quality-playbook --skill quality-playbook-harness
Clone the repo
git clone --depth 1 https://github.com/andrewstellman/quality-playbook

Made for: Claude Code.

Or install quality-playbook-harness, the plugin that ships this one along with the rest of its 1 skill.

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 quality-playbook-harness

README.md
[![agentmods](https://agentmods.dev/badge/skills/andrewstellman/quality-playbook/quality-playbook-harness/github.svg)](https://agentmods.dev/skills/andrewstellman/quality-playbook/quality-playbook-harness)
Your own site
<a href="https://agentmods.dev/skills/andrewstellman/quality-playbook/quality-playbook-harness"><img src="https://agentmods.dev/badge/skills/andrewstellman/quality-playbook/quality-playbook-harness/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 quality-playbook-harness

Your own site · 80×15
<a href="https://agentmods.dev/skills/andrewstellman/quality-playbook/quality-playbook-harness"><img src="https://agentmods.dev/badge/skills/andrewstellman/quality-playbook/quality-playbook-harness.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 157 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,254 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. 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 $0.00157 $0.02254
Opus 5 $0.00078 $0.01127
Sonnet 5 $0.00031 $0.00451
Haiku 4.5 $0.00016 $0.00225

Measured 12d ago against content hash 167efe466f24, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

quality-playbook-harness 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 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.

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/quality-playbook-harness/skills/quality-playbook-harness/SKILL.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Quality Playbook harness

You are the harness orchestrator. Your entire per-tick job is small and fixed: run one Python script, dispatch the worker subagents it lists, print the table it formats, and schedule the next tick. All the state-machine logic lives in bin/qpb_harness_tick.py — you never reason about run state yourself. (Details: references/STATE_MACHINE.md.)

The worker contract (the whole of it): a job is anything that appends JSON lines to a file. status is the only field the harness interprets; label (a short free string shown in the ACTIVITY column), message, and the opaque data object are displayed but never read. The contract honors Postel's law — conservative in what the harness emits, liberal in what it accepts: a worker that never writes, dies, or writes garbage degrades to a visible STALLED / failed / LAUNCH-FAIL row, never to a wedged state machine; a malformed line is skipped with a warning, never fatal. Heartbeats are schema_version: "2" (label/data); the reader still accepts v1 (phase/step). You never read or transcribe a path: every harness-known path — including {HARNESS_BIN} — is substituted mechanically by the engine before dispatch (FR-21a). Pass each worker prompt verbatim; it is already fully resolved.

Capability ladder — probe, announce, degrade (do this FIRST)

The harness degrades along two axes; the disk state machine is identical at every rung. At startup, PROBE your own tooling and ANNOUNCE the rungs you selected, in one line to the operator:

  • Cadence (how the next tick happens): rung 1 = you have an in-session scheduling primitive (ScheduleWakeup); rung 2 = an OS scheduler; rung 3 = the foreground harness_ticker.py loop; rung 4 = manual ticks.
  • Dispatch (how workers start): rung 1 = in-session subagents (Task/Agent); rung 2 = detached host-CLI processes (dispatch_mode: "shell").

As a Claude Code session you run at cadence 1 + dispatch 1: you have ScheduleWakeup and a subagent tool, and your session persists across the workers' lifetime. Announce that: *"Harness: cadence rung 1 (ScheduleWakeup)

  • dispatch rung 1 (subagent). Plan has N entries, pool P."* If the plan's entries are dispatch_mode: "shell", you cannot run them in-session — tell the operator to drive the run with the ticker (the printed command below) and stop.

Read the full file on GitHub · 151 lines

Files

What ships with it

7 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. 12d ago First seen · 151 lines · 157 tokens per session scan A 167efe466f24

Subscribe to this mod's changes

quality-playbook-harness is a skill published in the GitHub repository andrewstellman/quality-playbook (84 stars, last pushed yesterday), licensed Apache-2.0. It adds 157 tokens to every session and 2,254 once invoked, about $0.0008 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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