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/tirth8205/code-review-graph/review-prnpx skills add tirth8205/code-review-graph --skill review-prgit clone --depth 1 https://github.com/tirth8205/code-review-graphWrote 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/tirth8205/code-review-graph/review-pr)<a href="https://agentmods.dev/skills/tirth8205/code-review-graph/review-pr"><img src="https://agentmods.dev/badge/skills/tirth8205/code-review-graph/review-pr.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 | $0.00027 | $0.00574 |
| Opus 5 | $0.00014 | $0.00287 |
| Sonnet 5 | $0.00005 | $0.00115 |
| Haiku 4.5 | $0.00003 | $0.00057 |
Grade A, and why
review-pr 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 4d 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review PR
Perform a comprehensive code review of a pull request or branch diff using the knowledge graph.
Token optimization: Before starting, call get_docs_section_tool(section_name="review-pr") for the optimized workflow. Never include full files unless explicitly asked.
Steps
-
Identify the changes for the PR:
- If a PR number or branch is provided, use
git diff main...<branch>to get changed files - Otherwise auto-detect from the current branch vs main/master
- If a PR number or branch is provided, use
-
Update the graph by calling
build_or_update_graph_tool(base="main")to ensure the graph reflects the current state. -
Get the full review context by calling
get_review_context_tool(base="main"):- This uses
main(or the specified base branch) as the diff base - Returns all changed files across all commits in the PR
- This uses
-
Analyze impact by calling
get_impact_radius_tool(base="main"):- Review the blast radius across the entire PR
- Identify high-risk areas (widely depended-upon code)
-
Deep-dive each changed file:
- Read the full source of files with significant changes
- Use
query_graph_tool(pattern="callers_of", target=<func>)for high-risk functions - Use
query_graph_tool(pattern="tests_for", target=<func>)to verify test coverage - Check for breaking changes in public APIs
-
Generate structured review output:
## PR Review: <title> ### Summary <1-3 sentence overview> ### Risk Assessment - **Overall risk**: Low / Medium / High - **Blast radius**: X files, Y functions impacted - **Test coverage**: N changed functions covered / M total ### File-by-File Review #### <file_path> - Changes: <description> - Impact: <who depends on this> - Issues: <bugs, style, concerns> ### Missing Tests - <function_name> in <file> - no test coverage found ### Recommendations 1. <actionable suggestion> 2. <actionable suggestion>
Tips
- For large PRs, focus on the highest-impact files first (most dependents)
- Use
semantic_search_nodes_toolto find related code the PR might have missed - Check if renamed/moved functions have updated all callers
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.
- 4d ago First seen · 67 lines · 27 tokens per session scan A d48249a140cc
review-pr is a skill published in the GitHub repository tirth8205/code-review-graph (31,151 stars, last pushed 8d ago), licensed MIT. It adds 27 tokens to every session and 574 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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