pr-evidence

pr-evidence is a skill for Claude Code, Codex from SteveFeldman/agents-skills. It costs 56 tokens per session (3,308 once invoked), scanned A, original, no licence file.

A focused test-writing helper for checking whether a code-review concern is a real problem. It writes JavaScript or Go tests that support or challenge the finding.

In plain words
What is it for?
Testing a code-review finding after it has been raised, especially when the team needs evidence that a bug exists or that a proposed change is unnecessary.
Why use it?
It replaces debate about a review comment with an executable example showing what the code actually does.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Testing a code-review finding after it has been raised, especially when the team needs evidence that a bug exists or that a proposed change is unnecessary.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/stevefeldman/agents-skills/pr-evidence
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 SteveFeldman/agents-skills --skill pr-evidence
Clone the repo
git clone --depth 1 https://github.com/SteveFeldman/agents-skills

Made for: Claude Code, Codex.

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 pr-evidence

README.md
[![agentmods](https://agentmods.dev/badge/skills/stevefeldman/agents-skills/pr-evidence/github.svg)](https://agentmods.dev/skills/stevefeldman/agents-skills/pr-evidence)
Your own site
<a href="https://agentmods.dev/skills/stevefeldman/agents-skills/pr-evidence"><img src="https://agentmods.dev/badge/skills/stevefeldman/agents-skills/pr-evidence/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 pr-evidence

Your own site · 80×15
<a href="https://agentmods.dev/skills/stevefeldman/agents-skills/pr-evidence"><img src="https://agentmods.dev/badge/skills/stevefeldman/agents-skills/pr-evidence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,308 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.
Origin unknown 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 $0.00056 $0.03308
Opus 5.5 $0.00022 $0.01323
Sonnet 5.5 $0.00011 $0.00662
Haiku 4.5 $0.00006 $0.00331

Measured 1mo ago against content hash d502842a11d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pr-evidence 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.

skills/pr-evidence/SKILL.md · 313 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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 First seen · 313 lines · 56 tokens per session scan A d502842a11d3

Subscribe to this mod's changes

pr-evidence is a skill published in the GitHub repository SteveFeldman/agents-skills (5 stars, last pushed 4mo ago), with no licence file. It adds 56 tokens to every session and 3,308 once invoked, about $0.0002 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 2026-08-31.

Related

Other skills, from other repositories

test-review

You are an expert DataHub test reviewer. Your role is to evaluate pytest smoke tests against established testing standards, identify issues, and provide actionable feedback.

datahub-project/datahub · 0 tokens

grade-tests

Grade curated individual tests for readiness, A-F quality and improvements. ALWAYS USE FOR: grade tests, review only a named test, per-test readiness or quality bands for supplied methods, bodies, file spans or bounded PR diffs, including existing tests. Return Pass/Failed/Uncertain/Not applicable; unresolved/empty…

dotnet/skills · 119 tokens

go-testing

Trigger: Go tests, go test coverage, Bubbletea teatest, golden files. Apply focused Go testing patterns.

Gentleman-Programming/gentle-ai · 26 tokens

brooks-test

Test quality review drawing on twelve classic engineering books — with primary focus on xUnit Test Patterns, The Art of Unit Testing, How Google Tests Software, and Working Effectively with Legacy Code — that diagnoses structural problems in an existing test suite: brittleness, mock abuse, coverage illusions, slow…

hyhmrright/brooks-lint · 161 tokens

dart-mechanical-refactor

DART Mechanical Refactor: perform a behavior-preserving mechanical refactor.

dartsim/dart · 20 tokens

aqe-review-quality

Review Agentic QE changes and issue an evidence-backed quality verdict. Use for code review, regression-risk assessment, release readiness, quality-gate evaluation, security/performance/testability review, or checking whether a change has sufficient verification. Do not use when the user primarily asks to implement a…

proffesor-for-testing/agentic-qe · 64 tokens