phpunit-test-reconciling

phpunit-test-reconciling is a skill for Claude Code from shopwareLabs/ai-coding-tools. It costs 32 tokens per session (1,224 once invoked), scanned A, original, MIT.

An internal reviewer that re-evaluates PHPUnit review findings after receiving another reviewer's critique. It uses the test code and rule definitions as evidence.

In plain words
What is it for?
Use it to reconcile peer findings or adversarial challenges for unit, integration, or migration test reviews.
Why use it?
It provides a binding revised decision when reviewers disagree, without accepting a challenge merely because it was raised.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the test-writing plugin — 11 skills, 3 agents shipped together

Good fit Use it to reconcile peer findings or adversarial challenges for unit, integration, or migration test reviews.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/shopwarelabs/ai-coding-tools/phpunit-test-reconciling
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 shopwareLabs/ai-coding-tools --skill phpunit-test-reconciling
Clone the repo
git clone --depth 1 https://github.com/shopwareLabs/ai-coding-tools

Made for: Claude Code.

Or install test-writing, the plugin that ships this one along with the rest of its 11 skills, 3 agents.

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 phpunit-test-reconciling

README.md
[![agentmods](https://agentmods.dev/badge/skills/shopwarelabs/ai-coding-tools/phpunit-test-reconciling/github.svg)](https://agentmods.dev/skills/shopwarelabs/ai-coding-tools/phpunit-test-reconciling)
Your own site
<a href="https://agentmods.dev/skills/shopwarelabs/ai-coding-tools/phpunit-test-reconciling"><img src="https://agentmods.dev/badge/skills/shopwarelabs/ai-coding-tools/phpunit-test-reconciling/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 phpunit-test-reconciling

Your own site · 80×15
<a href="https://agentmods.dev/skills/shopwarelabs/ai-coding-tools/phpunit-test-reconciling"><img src="https://agentmods.dev/badge/skills/shopwarelabs/ai-coding-tools/phpunit-test-reconciling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,224 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 $0.00032 $0.01224
Opus 5.5 $0.00013 $0.00490
Sonnet 5.5 $0.00006 $0.00245
Haiku 4.5 $0.00003 $0.00122

Measured 1mo ago against content hash 7e2047341c86, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

phpunit-test-reconciling 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 1mo 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/test-writing/skills/phpunit-test-reconciling/SKILL.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PHPUnit Test Review Reconciling

Re-evaluate review findings against incoming critique and emit a binding revised stance, for any test type (unit, integration, or migration). Run in one of two modes: peer (reconcile against co-reviewers' findings) or adversary (reconcile against adversary challenges). Evidence — the rule's detection algorithm applied to the code — decides every disposition.

digraph reconcile {
  "Reconcile request" [shape=doublecircle];
  "mode?" [shape=diamond];
  "peer: load own + peer findings on shared files" [shape=box];
  "adversary: load own stance + adversary challenges" [shape=box];
  "Per contested finding: load detection algorithm (inline RULES block by ID if rules set, else get_rules), apply to code" [shape=box];
  "Evidence decides disposition — never social pressure" [shape=box];
  "Emit binding revised stance" [shape=doublecircle];

  "Reconcile request" -> "mode?";
  "mode?" -> "peer: load own + peer findings on shared files" [label="peer"];
  "mode?" -> "adversary: load own stance + adversary challenges" [label="adversary"];
  "peer: load own + peer findings on shared files" -> "Per contested finding: load detection algorithm (inline RULES block by ID if rules set, else get_rules), apply to code";
  "adversary: load own stance + adversary challenges" -> "Per contested finding: load detection algorithm (inline RULES block by ID if rules set, else get_rules), apply to code";
  "Per contested finding: load detection algorithm (inline RULES block by ID if rules set, else get_rules), apply to code" -> "Evidence decides disposition — never social pressure";
  "Evidence decides disposition — never social pressure" -> "Emit binding revised stance";
}

Input

The spawn prompt provides:

  • mode — peer or adversary
  • scope per file — list of method names, or full class. Reconcile only findings within the scoped methods; discard incoming items targeting out-of-scope code.
  • {rules} (optional) — the pre-rendered rule catalog as text, provided in your prompt. When set, find contested rules by ID in that text; it holds every rule, so NEVER read, open, search, or locate a rule file by any means — no Read/Grep/Glob, no get_rules — not even to resolve a missing ID. Reading the cited code is unaffected. When omitted, rules load via get_rules.

Read the full file on GitHub · 90 lines

Files

What ships with it

2 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. 1mo ago Changed 7e2047341c86
  2. 1mo ago Changed 01559ef565da
  3. 1mo ago Changed 4ed7fd1d88f2
  4. 1mo ago Changed d630f9d3b8f5
  5. 1mo ago First seen · 90 lines · 32 tokens per session scan A d272cd6adc73

Subscribe to this mod's changes

phpunit-test-reconciling is a skill published in the GitHub repository shopwareLabs/ai-coding-tools (45 stars, last pushed 6d ago), licensed MIT. It adds 32 tokens to every session and 1,224 once invoked, about $0.0001 per session on Opus 5.5. 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.