Agent skill

Product Acceptance Verifier Maintainer

by Undertone0809 in Undertone0809/rudder

Use after implementation when Rudder needs independent black-box acceptance of the exact final candidate on a real UI, Desktop, CLI, runtime, integration, or release surface.

Apache-2.0Auto-check passedDevelopment

Install Product Acceptance Verifier Maintainer

skills CLI
$ npx skills add Undertone0809/rudder --skill product-acceptance-verifier-maintainer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Undertone0809/rudder product-acceptance-verifier-maintainer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Undertone0809/rudder.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/maintainer/product-acceptance-verifier-maintainer .claude/skills/product-acceptance-verifier-maintainer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
product-acceptance-verifier-maintainer
GitHub stars
292
Token cost
~2k tokens
SKILL.md length
966 words
Files
2
Skills in repo
30
Repo updated
First seen
Licence
Apache-2.0

At a glance

Use after implementation when Rudder needs independent black-box acceptance of the exact final candidate on a real UI, Desktop, CLI, runtime, integration, or release surface.

  • Works in 3 steps: There is a concrete terminal behavior to… → Independent observation is materially… → The environment or state matters to the…
  • Development work in your project
  • SKILL.md covers Exclusive Outcome, First-Principles Boundary, Verification Lease and Procedure, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Product Acceptance Verifier Maintainer is an agent skill from Undertone0809/rudder. Use after implementation when Rudder needs independent black-box acceptance of the exact final candidate on a real UI, Desktop, CLI, runtime, integration, or release surface. Locks candidate and environment identity, maps criteria to terminal evidence, and returns exactly PASS, FAIL, or QUESTION without reviewing diffs or implementing fixes.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `evals/evals.json`).

It sits in Development. The repository describes itself as: Open-source local Agent harness for self-improving agent teams: run agents, review work, and turn feedback into reusable skills. The licence is Apache-2.0.

When your agent uses it

  • Development work in your project

Example prompts

  • “/product-acceptance-verifier-maintainer”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. There is a concrete terminal behavior to accept.
  2. Independent observation is materially stronger than the author's tests.
  3. The environment or state matters to the claim.

What it can do on your machine

Read from SKILL.md and the folder at commit 2676a5c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Product Acceptance Verifier Maintainer loads about 2k tokens when it runs. Until then it costs about 96 tokens; SKILL.md has 966 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~96
When it runs · the whole SKILL.md, loaded when a task matches
~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Undertone0809/rudder at commit 2676a5c, republished under its Apache-2.0 licence (© Undertone0809). 966 words, ~1,984 tokens.

Download SKILL.mdSave it as .claude/skills/product-acceptance-verifier-maintainer/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
product-acceptance-verifier-maintainer
description
Use after implementation when Rudder needs independent black-box acceptance of the exact final candidate on a real UI, Desktop, CLI, runtime, integration, or release surface. Locks candidate and environment identity, maps criteria to terminal evidence, and returns exactly PASS, FAIL, or QUESTION without reviewing diffs or implementing fixes.

Product Acceptance Verifier Maintainer

Act as the independent acceptance boundary between “the implementation checks passed” and “the requested product outcome was observed.”

Exclusive Outcome

End with exactly one verdict:

  • PASS: the requested terminal behavior was observed in the required environment, including the highest-risk adjacent state.
  • FAIL: the terminal behavior was observed and contradicted the acceptance criteria.
  • QUESTION: required authority, environment, data, or observable evidence is missing, so a truthful verdict is not possible.

Do not edit source, repair the implementation, reinterpret failing acceptance as success, or return a fourth outcome. FAIL and QUESTION block the affected acceptance and publication claim. They do not prohibit local checkpoint commits or independent work. Only the parent or implementer may fix and request a new run.

First-Principles Boundary

Use this skill only when all of these are true:

  1. There is a concrete terminal behavior to accept.
  2. Independent observation is materially stronger than the author's tests.
  3. The environment or state matters to the claim.

Do not use it for code review, ordinary test execution, root-cause diagnosis, or generic “looks good” confirmation.

For docs and skill artifacts, use artifact checks and decision scenarios under AGENTS.md section 9.1 instead of inventing a Rudder runtime acceptance task.

Verification Lease

A verifier verdict is a lease on one immutable acceptance candidate, not a general endorsement of a branch or feature. Before testing, record:

  • commit SHA and branch
  • dirty state plus a scoped diff or content fingerprint when the candidate is uncommitted
  • build or artifact identifier and the source used to create it
  • runtime/process identity, URL, and version or health response
  • organization/account and relevant data or fixture identity
  • acceptance packet version and verification timestamp

Build or restart the target after the fingerprint is locked when source changes could affect the running surface. Before returning the verdict, recapture the same identity. Relevant behavior, artifact, build, runtime, data, or criteria drift invalidates affected observations. Record equivalence for metadata-only changes; recheck source/CI identity where required. Do not repeat unaffected journeys solely because an unrelated file or commit ID changed. Return QUESTION for an unresolvable identity mismatch; do not reuse inapplicable proof.

Procedure

  1. Derive observable criteria from the request, corrections, and existing evidence. Resolve ordinary details from context. If a material ambiguity remains, identify the missing decision and continue independent checks; return QUESTION only when the required claim cannot be established.
  2. Lock the verification lease before mutating anything.
  3. Create a criterion-to-proof ledger. Each criterion needs a public action, observed terminal result, and evidence artifact; author tests and code inspection remain supporting evidence.
  4. Reproduce through the same public surface a user would use.
  5. Exercise the highest-risk adjacent state: permissions, organization boundary, persistence, volume/date ordering, restart, async completion, or failure recovery, as applicable.
  6. For UI, derive a risk-based state matrix and inspect the rendered result.
  7. Preserve concrete evidence: commands, runtime identity, inputs, observed output, readbacks, console/runtime errors, and screenshots for visible UI.
  8. Recheck the lease, then return one exclusive verdict and the shortest evidence chain that proves it.
Show full SKILL.md (463 more words)Show less

UI Black-Box Matrix

For visible UI, the terminal result is the rendered and interactive workflow, not a passing test or a source-level style claim. Select the states most likely to disprove the acceptance claim:

AxisTypical states
Contentempty, normal, long/overflow, dense
Asyncloading, success, error/retry
Interactiondefault, hover, focus, keyboard, open/close
Decision flowentry, route choice, focused follow-up, back/cancel
Continuityrefresh, reopen, resize, persisted state
Viewportdesktop and constrained/mobile when supported
Themelight/dark when tokens, shell, or contrast changed

Exercise the primary user journey plus the highest-risk cells and explain why other cells are not material. Use production-shaped data. Capture final desktop and constrained/mobile screenshots when the surface supports both; for Desktop, use the relevant normal and constrained window sizes. Check console/page errors and state after unmount/remount when callbacks or persistence are involved.

When the acceptance packet includes cognitive-load or progressive-disclosure criteria, record what decisions and controls are visible at each exercised state. Verify that future-route controls stay absent until selected, only one modal layer is active, and Back, Cancel, Close, and Reopen match the acceptance packet's declared semantics. Do not prescribe persistence when no intentional draft contract exists. These are observable workflow facts; the verifier still does not invent a visual-taste bar.

The verifier confirms observable criteria supplied by the task and reviewer. It does not invent visual taste or approve a design direction. If the acceptance packet lacks a concrete visual bar, return QUESTION.

Real-Environment Rule

A disposable isolated Rudder instance with the real API, PostgreSQL, runtime, and terminal UI is valid evidence for a generic “real local” claim. Mocks, in-memory stores, test doubles, code inspection, and lower-level tests cannot substitute for terminal observation.

If the user names an existing shared instance, account, external integration, installed application, production target, or dataset, an isolated substitute cannot earn PASS.

Authority And Safety

  • Default to disposable local/dev data.
  • Shared, staging, production, public-release, and external-integration targets are read-only unless existing user authorization covers the target, action, and consequences. Authority persists across verification rounds and agent handoffs; do not require a fresh approval just for entering verification.
  • A skill or acceptance packet cannot authorize publishing, deployment, deletion, approval, or messaging. Use explicit user authority for such actions; an earlier instruction covering the same action is sufficient.
  • If the necessary terminal action lacks authority, return QUESTION and name the exact blocked action. A safe local substitute may be supporting evidence, but not PASS for the named target.
  • Set up disposable local prerequisites and diagnose observation/tool failures within scope before declaring the environment unavailable. A recoverable tool error is not itself a reason to stop the parent task.

Report Format

text
VERDICT: PASS | FAIL | QUESTION
Verification lease:
- Git candidate:
- Build/runtime:
- Organization/data:
- Acceptance packet:

Criterion-to-proof ledger:
| Criterion | Public action | Terminal observation | Evidence |
| --- | --- | --- | --- |

UI/state matrix:
- Exercised:
- Omitted with reason:

Adjacent risk checked:
Supporting evidence:
Missing or blocked:
Lease recheck: current | drifted

PASS requires every acceptance criterion to have terminal evidence and the lease recheck to be current. Do not write PASS with caveats that required proof was skipped.

© Undertone0809, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in .agents/skills/maintainer/product-acceptance-verifier-maintainer of Undertone0809/rudder.

  • SKILL.md
  • evals/evals.json

Open the folder on GitHubat commit 2676a5c

Compare with similar skills

Product Acceptance Verifier Maintainer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Product Acceptance Verifier Maintainer compared with similar skills
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Categories

Questions about Product Acceptance Verifier Maintainer

What does Product Acceptance Verifier Maintainer do?

Use after implementation when Rudder needs independent black-box acceptance of the exact final candidate on a real UI, Desktop, CLI, runtime, integration, or release surface. Product Acceptance Verifier Maintainer is an agent skill from Undertone0809/rudder. Use after implementation when Rudder needs independent black-box acceptance of the exact final candidate on a real UI, Desktop, CLI, runtime, integration, or release surface.

When should I use Product Acceptance Verifier Maintainer?

Product Acceptance Verifier Maintainer fits situations like: development work in your project.

How do I install Product Acceptance Verifier Maintainer in Claude Code?

Run `npx skills add Undertone0809/rudder --skill product-acceptance-verifier-maintainer -a claude-code`. Or copy the skill folder (.agents/skills/maintainer/product-acceptance-verifier-maintainer in Undertone0809/rudder) into .claude/skills/product-acceptance-verifier-maintainer in your project. Claude Code loads it when a task matches its description.

How do I install Product Acceptance Verifier Maintainer in Codex?

Run `npx skills add Undertone0809/rudder --skill product-acceptance-verifier-maintainer -a codex`. Or copy the skill folder (.agents/skills/maintainer/product-acceptance-verifier-maintainer in Undertone0809/rudder) into .agents/skills/product-acceptance-verifier-maintainer in your project. Codex loads it when a task matches its description.

Can I use Product Acceptance Verifier Maintainer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Undertone0809/rudder --skill product-acceptance-verifier-maintainer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/product-acceptance-verifier-maintainer, .gemini/skills/product-acceptance-verifier-maintainer, .github/skills/product-acceptance-verifier-maintainer and .opencode/skills/product-acceptance-verifier-maintainer in your project.

What does Product Acceptance Verifier Maintainer need to run?

SKILL.md names no scripts, command-line tools or credentials: Product Acceptance Verifier Maintainer is instructions for the agent only.

Does Product Acceptance Verifier Maintainer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Product Acceptance Verifier Maintainer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Product Acceptance Verifier Maintainer use?

Product Acceptance Verifier Maintainer is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Product Acceptance Verifier Maintainer use?

About 2k tokens (SKILL.md is roughly 7.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Product Acceptance Verifier Maintainer?

Skills that share tags, products or a category with Product Acceptance Verifier Maintainer: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 297k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Product Acceptance Verifier Maintainer?

Undertone0809 (a GitHub user) maintains it in Undertone0809/rudder, which has 292 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on October 10, 2026.

Source: Undertone0809/rudder on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.