p5-acceptance

p5-acceptance is a command for coding agents from jonase47/ccpr. It costs 0 tokens per session (1,382 once invoked), scanned A, original, MIT.

An acceptance-testing command that checks an implemented feature against its requirements from a user's point of view. Acceptance criteria are the conditions a feature must meet to count as complete.

In plain words
What is it for?
Use it to test a feature or story and produce findings about whether its expected behaviour is complete.
Why use it?
It helps catch missing requirements and incorrect edge-case behaviour before a feature is marked done.

Command

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 commands/jonase47/ccpr/p5-acceptance
Clone the repo
git clone --depth 1 https://github.com/jonase47/ccpr

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 p5-acceptance

README.md
[![agentmods](https://agentmods.dev/badge/commands/jonase47/ccpr/p5-acceptance.svg)](https://agentmods.dev/commands/jonase47/ccpr/p5-acceptance)
Your own site
<a href="https://agentmods.dev/commands/jonase47/ccpr/p5-acceptance"><img src="https://agentmods.dev/badge/commands/jonase47/ccpr/p5-acceptance.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,382 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 $0.00000 $0.01382
Opus 5 $0.00000 $0.00691
Sonnet 5 $0.00000 $0.00276
Haiku 4.5 $0.00000 $0.00138

Measured today against content hash 257a83ff96e2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

p5-acceptance 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 today.

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.

commands/p5-acceptance.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/p5-acceptance – Acceptance Tests

Tests an implemented feature against its requirements from a user perspective: are all acceptance criteria met? Are edge cases handled correctly? The result is test findings that determine whether the feature counts as "Done".

Argument: $ARGUMENTS = [Feature name/Story ID]

If provided: Test the named feature against its acceptance criteria. If not provided: resolve the story via the work-item adoption guard below (falls back to reading SPRINT.md and asking, if the project is still on prose). If context is missing, ask for the feature name or story ID.

0. Work-item adoption guard (ADR-0002 §8)

Run python3 ~/.claude/scripts/workitems.py list.

  • Non-empty array → the project uses the structured store. Use the CLI for all item state below:
    • No $ARGUMENTS: resolve the story via workitems list --status "Waiting for Approval", pick the first item in the returned array, ask for confirmation. Acceptance criteria come from workitems get <id> (description field) instead of BACKLOG.md prose.
    • $ARGUMENTS provided: resolve <id> by matching $ARGUMENTS against a story's title, or directly if it looks like a Work-Item id (WI-NNNN) from BACKLOG.md/SPRINT.md, then confirm the resolved item with the user before proceeding.
  • [] and no docs/workitems/ directory → still on prose. Read SPRINT.md/BACKLOG.md to find/ask which story is next, as before. Emit one line: "Tip: run lift to adopt the structured work-item store."
  • [] but docs/workitems/ exists → adopted store, just empty right now (e.g. between sprints). Treat as adopted: use the CLI, not the prose fallback.

See Manual/WORKITEMS.md §8 for the full guard rationale and the status-verb mapping.

Execution

1. Read Context

Read the following files (if available):

  • BACKLOG.md (acceptance criteria of the story – this is the test standard)
  • SPRINT.md (sprint context and Definition of Done)
  • USER_JOURNEYS.md (persona and journey context for realistic test scenarios)
  • UX_CONCEPT.md (UI specifications for visual checks)
  • TEST_STRATEGY.md (test levels and methods)

Read the full file on GitHub · 120 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. today First seen · 120 lines · 0 tokens per session scan A 257a83ff96e2

Subscribe to this mod's changes

p5-acceptance is a command published in the GitHub repository jonase47/ccpr (1 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,382 tokens. 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 2026-09-03.