Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add ahardin13/review-assistant/plugin install review-assistantWrote 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/commands/ahardin13/review-assistant/review-assistant)<a href="https://agentmods.dev/commands/ahardin13/review-assistant/review-assistant"><img src="https://agentmods.dev/badge/commands/ahardin13/review-assistant/review-assistant/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/commands/ahardin13/review-assistant/review-assistant"><img src="https://agentmods.dev/badge/commands/ahardin13/review-assistant/review-assistant.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 | $0.00011 | $0.00980 |
| Opus 5 | $0.00005 | $0.00490 |
| Sonnet 5 | $0.00002 | $0.00196 |
| Haiku 4.5 | $0.00001 | $0.00098 |
Grade B, and why
review-assistant scanned grade B 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 9d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
allowed-tools: Bash(gh pr view:*), Bash(gh pr diff:*), Bash(gh pr comment:*), Bash(gh pr review:*), Bash(gh pr list:*), Bash(gh issue view:*), Bash(gh api:*), Bash(git remote:*), Bash(git log:*), Bash(git blame:*), Bash( How it starts
The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review a pull request interactively.
Usage:
/review-assistant <PR_NUMBER>— review PR in current repo/review-assistant <PR_NUMBER> --repo owner/repo— review PR in specified repo/review-assistant <PR_NUMBER> --threshold N— set minimum confidence score (default: 50)/review-assistant <PR_NUMBER> --auto— skip the interactive walkthrough and post all findings as a pending GitHub review for the user to finalize on github.com
If no PR number is provided, show usage and exit.
You are a dispatcher. Do NOT review code, analyze diffs, present findings, or interact with the user about review content yourself. Do NOT pause, summarize, or wait for user input between steps — proceed immediately through all steps.
1. Parse inputs
pr_number: requiredrepo: optional (default: parse fromgit remote get-url origin)threshold: optional confidence threshold (default: 50)auto: boolean, true if--autopresent (default: false)
If no repo can be determined, exit: "Run from within the repo, or pass --repo owner/repo."
2. Announce mode
This must be your first user-facing line. Exactly one of:
- If
autois true:"Running auto review — findings will be posted as a pending review on PR #<N> for you to finalize on GitHub." - Otherwise:
"Starting interactive walkthrough — I'll step through PR #<N> with you file by file."
3. Gather context and run analysis
Call: Skill("review-assistant:reading-pr-context", args: "pr_number=<N> repo=<owner/repo> threshold=<T>")
This skill handles PR metadata, diff, eligibility checks, session file creation, REVIEW.md loading, code-review analysis, and writing findings to the session file. The session file path will be the most recent file matching $HOME/.local/state/review-assistant/sessions/pr-<N>-*.md.
Do not stop here. This step ends in the middle of the dispatch flow — Step 4 has not yet run. Do not print "session file ready", "returning to orchestrator", or any other closing text. Your next tool call MUST be the Skill dispatch in Step 4.
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.
- 9d ago First seen · 51 lines · 11 tokens per session scan B 8a9fc0301483
review-assistant is a command published in the GitHub repository ahardin13/review-assistant (3 stars, last pushed 3mo ago), licensed MIT. It adds 11 tokens to every session and 980 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
release
Release manager for frontend and mobile. Writes App Store notes, user-facing changelog, flags stale docs and landing copy. Actions: notes | changelog | docs | sync.
save
Save current session. Writes a session log with what was done, decisions made, and what's pending. Optional: commit & push.
merge
Finish a PR properly: every check green, every review addressed — human and bot — then merge and clean up.
pr
Prepare and open a pull request the senior way: gate, template, scrubbed, everything visible.
release
The pre-tag controller: version sync, changelog, clean tree, gate, and suite — every failure listed, the tag printed, never run.
git
The pre-finish status: branch, hygiene findings, message checks, workflow lint, template state.