Borrowing it
Nothing to install: this file belongs to EndogenAI/dogma. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/EndogenAI/dogma/main/.github/skills/pr-review-reply/SKILL.mdgit clone --depth 1 https://github.com/EndogenAI/dogmaWrote 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/endogenai/dogma/pr-review-reply)<a href="https://agentmods.dev/skills/endogenai/dogma/pr-review-reply"><img src="https://agentmods.dev/badge/skills/endogenai/dogma/pr-review-reply/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/endogenai/dogma/pr-review-reply"><img src="https://agentmods.dev/badge/skills/endogenai/dogma/pr-review-reply.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 | $0.00104 | $0.01555 |
| Opus 5.5 | $0.00042 | $0.00622 |
| Sonnet 5.5 | $0.00021 | $0.00311 |
| Haiku 4.5 | $0.00010 | $0.00155 |
Grade A, and why
pr-review-reply 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.
How it starts
The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PR Review Reply
This skill enacts the Algorithms Before Tokens axiom from MANIFESTO.md: repetitive post-review response workflows are encoded as a script and executed deterministically, not performed manually through the UI with repeated token burn per comment. The post-review loop is governed by AGENTS.md § Verify-After-Act for Remote Writes. When this skill and those documents conflict, the primary documents take precedence.
1. Three Modes
The script supports three modes of operation:
| Mode | When to use | Command |
|---|---|---|
| Single reply | One comment to address | --reply-to <id> --body <text> |
| Single resolve | One thread to close without reply | --resolve <thread-node-id> |
| Batch (preferred) | Multiple comments or resolve-without-reply in one pass | --batch <json-file> |
Always use batch mode when addressing more than one comment. It is more reliable than sequential single calls and produces a single audit trail.
2. Single Reply
uv run python scripts/pr_review_reply.py --pr <num> --reply-to <comment-id> --body "Fixed in <sha>."
For multi-line reply bodies, use batch mode with a JSON file instead of --body — shell quoting and backtick interpolation cause gh to misbehave with multi-line text.
3. Single Resolve
uv run python scripts/pr_review_reply.py --pr <num> --resolve <thread-node-id>
This resolves the thread without posting a reply. Use only when the comment does not warrant a reply (e.g., a nit that was silently fixed).
4. Batch Mode (Preferred)
Write a JSON array to a temp file and pass it with --batch:
# Write the batch file (use a file tool — never heredoc)
# Example contents: .tmp/<branch>/review-replies.json
uv run python scripts/pr_review_reply.py --pr <num> --batch .tmp/<branch>/review-replies.json
Batch JSON format — each entry may contain any combination of reply_to, body, and resolve:
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 · 195 lines · 104 tokens per session scan A 62c8ec670439
pr-review-reply is a skill published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 104 tokens to every session and 1,555 once invoked, about $0.0004 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.
pr-review-reply compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| pr-review-replyEndogenAI/dogma | Skill | 2 | 2mo ago | Apache-2.0 | A | 104 | Claude Code |
| open-code-reviewalibaba/open-code-review | Skill | 50k | yesterday | Apache-2.0 | A | 98 | Cursor |
| githubopensquilla/opensquilla | Skill | 7.1k | 6d ago | Apache-2.0 | A | 101 | Claude Code, Codex |
| engineer-bot-getting-startedmakecindy/cindy | Skill | 9.3k | yesterday | Apache-2.0 | A | 44 | Claude Code, Codex |
| gitx-cmd/x-cmd | Skill | 4.7k | 7d ago | Apache-2.0 | A | 58 | Claude Code, Codex |
| meta-codereview-current-diffopensquilla/opensquilla | Skill | 7.1k | 6d ago | Apache-2.0 | A | 73 | Claude Code, Codex |
| 05-reviewai-driven-dev/framework | Skill | 550 | yesterday | MIT | A | 54 | Claude Code |