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 Dawn-Technology/aicelerate --skill review-prgit clone --depth 1 https://github.com/Dawn-Technology/aicelerateWrote 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/dawn-technology/aicelerate/review-pr)<a href="https://agentmods.dev/skills/dawn-technology/aicelerate/review-pr"><img src="https://agentmods.dev/badge/skills/dawn-technology/aicelerate/review-pr/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/dawn-technology/aicelerate/review-pr"><img src="https://agentmods.dev/badge/skills/dawn-technology/aicelerate/review-pr.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 | $0.00042 | $0.05157 |
| Opus 5.5 | $0.00017 | $0.02063 |
| Sonnet 5.5 | $0.00008 | $0.01031 |
| Haiku 4.5 | $0.00004 | $0.00516 |
Grade A, and why
review-pr 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 5d 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.
1. Retrieve the diffs between the source and target branches through `provider_route`. Use `gh pr diff`/`gh api`, GitHub MCP tools, or `glab mr diff`/`glab api`. Do not use raw `curl`. 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.
- 5d ago Changed · +5 lines 1618b89259fc
- 19d ago Changed · +16 lines 6e5a0ede1712
- 1mo ago Changed · -1 lines dd5847e132e2
- 1mo ago Changed · +2 lines b42e784c29bb
- 1mo ago Changed · +37 lines · -6 tokens per session b47bd5c14ce2
- 1mo ago First seen · 351 lines · 48 tokens per session scan A 06d7670592e0
review-pr is a skill published in the GitHub repository Dawn-Technology/aicelerate (12 stars, last pushed today), with no licence file. It adds 42 tokens to every session and 5,157 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
Other skills, from other repositories
ship
Take a task or an open PR to merge-ready — executor lane, independent verifier lane, bounded fix rounds by fresh agents, deterministic prepare/gates/merge via omc ship.
critique
Critique all unpushed commits before pushing to remote.
review-pr
Review a GitHub pull request for correctness, security, observability, test coverage, and conventions. Identify applicable skills, verify and triage sub-agent findings to cut noise, score each review dimension red-amber-yellow-green, and produce a structured review that is persisted and presented to the user. Use when…
pr
Draft a PR body from OMC's paper trail — the smallest visual that proves the change, evidence consumed from the verify protocol (never re-collected), reversibility from the ADR test on the diff, glossary language throughout.
pwrl-review-sync-status
Post review findings back to GitHub PR with comments, formal reviews, and labels. Final phase of pwrl-review orchestrator.
autofix-pr
Watch a pull request and fix it from a worktree of its own - CI failures, review feedback from trusted authors and merge conflicts are fixed, pushed to the PR branch and answered on the PR under the user's git and gh identity. Usage - /autofix-pr [ | ] [--once] [--every ] [--no-reply] [--yes] [instructions]…