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.
npx skills add shopwareLabs/ai-coding-tools --skill phpunit-test-reconcilinggit clone --depth 1 https://github.com/shopwareLabs/ai-coding-toolsWrote 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.
[](https://agentmods.dev/skills/shopwarelabs/ai-coding-tools/phpunit-test-reconciling)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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—peeroradversaryscopeper file — list of method names, orfull 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 — noRead/Grep/Glob, noget_rules— not even to resolve a missing ID. Reading the cited code is unaffected. When omitted, rules load viaget_rules.
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.
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.
- 1mo ago Changed 7e2047341c86
- 1mo ago Changed 01559ef565da
- 1mo ago Changed 4ed7fd1d88f2
- 1mo ago Changed d630f9d3b8f5
- 1mo ago First seen · 90 lines · 32 tokens per session scan A d272cd6adc73
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.
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