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 prgilabert/agent-ecosystem-generator --skill pr-comment-formattergit clone --depth 1 https://github.com/prgilabert/agent-ecosystem-generatorWrote 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/prgilabert/agent-ecosystem-generator/pr-comment-formatter)<a href="https://agentmods.dev/skills/prgilabert/agent-ecosystem-generator/pr-comment-formatter"><img src="https://agentmods.dev/badge/skills/prgilabert/agent-ecosystem-generator/pr-comment-formatter/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/prgilabert/agent-ecosystem-generator/pr-comment-formatter"><img src="https://agentmods.dev/badge/skills/prgilabert/agent-ecosystem-generator/pr-comment-formatter.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 | $0.00075 | $0.00178 |
| Opus 5.5 | $0.00030 | $0.00071 |
| Sonnet 5.5 | $0.00015 | $0.00036 |
| Haiku 4.5 | $0.00007 | $0.00018 |
Grade A, and why
pr-comment-formatter 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 2mo 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.
What it actually says
Pr Comment Formatter
Purpose
Turn a list of findings into a reviewer-friendly markdown comment.
When to use
After all three checkers return. Before the orchestrator posts a comment.
Workflow
- Group findings by checker.
- Sort by severity.
- Render markdown with
<details>sections per checker.
Inputs
Array of findings objects.
Outputs
Markdown string ready to paste as a PR comment.
Examples
See assets/examples/.
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.
- 2mo ago First seen · 34 lines · 75 tokens per session scan A 9c78010187f3
pr-comment-formatter is a skill published in the GitHub repository prgilabert/agent-ecosystem-generator (9 stars, last pushed 6mo ago), licensed MIT. It adds 75 tokens to every session and 178 once invoked, about $0.0003 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.
Other skills, from other repositories
code-review
Review code for quality, maintainability, and correctness.
oracle
Oracle second-model review: bundle prompts/files, debug, refactor, design.
pr-review
Review open PRs two ways - default is a per-PR deep review with severity-tagged findings, inline comments, and a verdict; --survey runs a risk-tiered triage digest of what's safe to merge first.
pr-triage
First-touch triage for external pull requests - verdict, label, and a welcoming comment within minutes of open.
feedback-builder
Point Aeon at a service's /feedback endpoint - pull what agents reported (bugs, missing features), triage and cluster it, then build the best accepted request as a PR for a human to approve.
[REPLACE: SKILL_NAME]
First-touch review of newly opened PRs on [REPLACE: WATCHEDREPO] — verdict + welcoming comment + label.