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 sjungling/sjungling-claude-plugins/plugin install workflowWrote 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/sjungling/sjungling-claude-plugins/post-pr-comments)<a href="https://agentmods.dev/commands/sjungling/sjungling-claude-plugins/post-pr-comments"><img src="https://agentmods.dev/badge/commands/sjungling/sjungling-claude-plugins/post-pr-comments/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/sjungling/sjungling-claude-plugins/post-pr-comments"><img src="https://agentmods.dev/badge/commands/sjungling/sjungling-claude-plugins/post-pr-comments.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 | $0.00012 | $0.00921 |
| Opus 5 | $0.00006 | $0.00461 |
| Sonnet 5 | $0.00002 | $0.00184 |
| Haiku 4.5 | $0.00001 | $0.00092 |
Grade A, and why
post-pr-comments scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Post inline code review comments on the GitHub PR associated with the current branch.
Step 1: Gather Findings
Collect all code review findings, issues, or suggestions from the current conversation. For each finding, determine:
- File path — relative to the repo root
- Line number(s) — the specific line or line range in the current version of the file
- Comment body — a clear, actionable description of the issue in markdown
If there are no review findings in the conversation, tell the user and stop.
Step 2: Resolve Line Numbers
For each finding, verify the line numbers are accurate:
- Read the file to confirm the code at the referenced line matches what was discussed
- If the line has shifted (e.g., due to edits since the review), find the correct current line
- For issues spanning multiple lines, use
start_lineandlineto define the range
Step 3: Write Comments JSON
Write a JSON file containing the comments array:
COMMENTS_FILE=$(mktemp /tmp/pr-review-comments-XXXXXX.json)
Each comment object must have:
path(string) — file path relative to repo rootline(number) — the line number (or end line for ranges)side(string) — always"RIGHT"body(string) — markdown comment body
For multi-line ranges, also include:
start_line(number) — first line of the rangestart_side(string) — always"RIGHT"
Required footer
Append an attribution footer to the end of every comment body, so reviewers know the finding was machine-generated and at what rigor. Format:
\n\n---\n<sub>🤖 Analysis: <MODEL> · <REASONING> reasoning effort<EXTRA></sub>
<MODEL>— the model that produced the analysis, e.g.Claude Opus 4.8.<REASONING>— the reasoning/thinking level used, e.g.high.<EXTRA>— optional· <note>suffix for extra provenance that genuinely applies, e.g.· red-teamed before postingwhen findings were adversarially verified. Omit entirely if nothing extra applies — do not fabricate it.
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 · 107 lines · 12 tokens per session scan A 8e5a936ec172
post-pr-comments is a command published in the GitHub repository sjungling/sjungling-claude-plugins (13 stars, last pushed 25d ago), licensed MIT. It adds 12 tokens to every session and 921 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.
Other commands, from other repositories
devkit.github.review-pr
Provides comprehensive GitHub pull request review with code quality, security, and best practices analysis. Use when reviewing a PR before merging.
speckit.spex.submit
Push and create PR for team review, with optional watch mode for CI monitoring.
git
The pre-finish status: branch, hygiene findings, message checks, workflow lint, template state.
code-review
Code review for branch changes. Analyzes git diff between branches with multi-level depth (low/medium/high). Matches changes against task description. Returns structured report with severity levels and verdict.
repo-audit
Audit a codebase (local or remote GitHub/GitLab) against architecture principles and requirements, surfacing drift, risk, and missing decisions.
advanced-code-review-context
Advanced Code Review Phase 2: Context Analysis - load previous reviews, PR history, declined items.