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 ashe-li/agent-skills --skill pr-evidence-commentgit clone --depth 1 https://github.com/ashe-li/agent-skillsWrote 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/ashe-li/agent-skills/pr-evidence-comment)<a href="https://agentmods.dev/skills/ashe-li/agent-skills/pr-evidence-comment"><img src="https://agentmods.dev/badge/skills/ashe-li/agent-skills/pr-evidence-comment/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/ashe-li/agent-skills/pr-evidence-comment"><img src="https://agentmods.dev/badge/skills/ashe-li/agent-skills/pr-evidence-comment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00248 | $0.03182 |
| Opus 5 | $0.00124 | $0.01591 |
| Sonnet 5 | $0.00050 | $0.00636 |
| Haiku 4.5 | $0.00025 | $0.00318 |
Grade A, and why
pr-evidence-comment scanned grade A with 1 finding 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 10d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| API/資料正確性 | ❌ 改用 curl/測試輸出 | 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.
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.
- 10d ago First seen · 194 lines · 248 tokens per session scan A cee3340f5f4c
pr-evidence-comment is a skill published in the GitHub repository ashe-li/agent-skills (2 stars, last pushed yesterday), with no licence file. It adds 248 tokens to every session and 3,182 once invoked, about $0.0012 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
test-conversion-reviewer
Reviewer for converting unit tests to browser tests for Project Bedrock. Invoke this when the user needs to review their work while removing complex Browser dependencies from tests.
full-stack-e2e-review
Run a rigorous end-to-end product or feature review across architecture, data, APIs, permissions, billing, tests, and real browser UX. Use for requests such as review this branch end to end, test everything, ensure no bugs, perform a full visual pass, or validate a multi-user workflow before merge or deploy.
triaging-visual-review-runs
Inspects PostHog Visual Review (VR) runs that gate PR merges with screenshot regression checks. Use when the user mentions "visual review", "VR", "snapshot diff", "screenshot test", "storybook regression", "playwright snapshot", asks why a PR is blocked or what changed visually, wants to triage the VR backlog, decide…
simulate-agents
Run Mock User and Auditor agents against a feature in fresh contexts before human review. Use after verify-work, before request-review, when user wants pre-review simulation.
review
Review Playwright tests for quality. Use when user says "review tests", "check test quality", "audit tests", "improve tests", "test code review", or "playwright best practices check".
qe-workflow
QE workflow for test strategy, test fixing, code review, and quality verdicts. Use when QE needs to validate code, write test plans, or report quality assessment.