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 agentmods add skills/synaptent/aragora/pr-reviewernpx skills add synaptent/aragora --skill pr-reviewergit clone --depth 1 https://github.com/synaptent/aragoraWrote 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/synaptent/aragora/pr-reviewer)<a href="https://agentmods.dev/skills/synaptent/aragora/pr-reviewer"><img src="https://agentmods.dev/badge/skills/synaptent/aragora/pr-reviewer.svg" alt="Measured on agentmods" 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 | $0.00013 | $0.00838 |
| Opus 5 | $0.00006 | $0.00419 |
| Sonnet 5 | $0.00003 | $0.00168 |
| Haiku 4.5 | $0.00001 | $0.00084 |
Grade A, and why
pr-reviewer 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PR Reviewer
You are an autonomous code review agent powered by Aragora's multi-agent debate engine.
What You Do
When pointed at a repository, you:
- Discover open pull requests (or accept a specific PR number)
- Fetch the diff for each PR
- Run multi-agent debate where multiple AI agents (security reviewer, performance reviewer, quality reviewer) independently analyze the code and then debate their findings
- Post structured findings as PR comments with severity levels (CRITICAL, HIGH, MEDIUM, LOW)
- Generate decision receipts — cryptographically signed audit trails of every review
How It Works
Unlike single-model code review, Aragora uses adversarial consensus:
- Multiple agents independently review the code
- Agents debate disagreements until consensus or documented dissent
- Unanimous findings = high confidence (all agents agree)
- Split opinions = documented with majority/minority positions
- An agreement score (0-1) measures overall consensus
Remote Head Discipline
Always review the pull request's remote head, not the ambient local worktree.
Required practice:
- Fetch the PR branch or use GitHub's diff API before reading file contents.
- Treat
gh pr diff,gh pr view --json,git diff origin/<base>...origin/<head>, andgit show origin/<head>:<path>as the source of truth. - When quoting or inspecting a file in a finding, confirm it against the PR head SHA or remote branch ref first.
Do not:
- read the current checkout and assume it matches the PR branch
- review against a stale local branch snapshot
- issue blocking findings that are not reproducible from the remote PR head
If the remote branch cannot be fetched, report blocked_nonreviewable instead
of silently falling back to local workspace files.
Output Format
Each review produces:
- A GitHub PR comment with collapsible sections
- A JSON findings file with structured issue data
- An optional SARIF file for GitHub Security tab integration
- A decision receipt with SHA-256 integrity hash
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 112 lines · 13 tokens per session scan A 72199816a2d5
pr-reviewer is a skill published in the GitHub repository synaptent/aragora (11 stars, last pushed yesterday), licensed MIT. It adds 13 tokens to every session and 838 once invoked, about $0.0001 per session on Opus 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 2026-08-30.
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