Borrowing it
Nothing to install: this file belongs to joshsmithxrm/power-platform-developer-suite. 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/joshsmithxrm/power-platform-developer-suite/main/.claude/skills/review/SKILL.mdgit clone --depth 1 https://github.com/joshsmithxrm/power-platform-developer-suiteWrote 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/joshsmithxrm/power-platform-developer-suite/review)<a href="https://agentmods.dev/skills/joshsmithxrm/power-platform-developer-suite/review"><img src="https://agentmods.dev/badge/skills/joshsmithxrm/power-platform-developer-suite/review.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 | $0.00028 | $0.01346 |
| Opus 5 | $0.00014 | $0.00673 |
| Sonnet 5 | $0.00006 | $0.00269 |
| Haiku 4.5 | $0.00003 | $0.00135 |
Grade A, and why
review 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review
Code review with structural bias prevention. The reviewer gets NO implementation context — no plan, no task descriptions, no "what we were trying to do." They get ONLY: the diff, the file contents, the constitution, and relevant spec ACs. They read code and find bugs.
Why This Exists
Evidence from vscode-extension-mvp worktree:
- Biased review (reviewer had implementation context): found 1 issue
- Independent review (fresh session, no context): found 30 issues
Same code. 30x difference. Reviewer bias is measurable and severe.
Input
$ARGUMENTS = optional scope (e.g., src/PPDS.Cli/Tui/ to limit review). Default: review all staged/recent changes.
Process
Step 1: Gather Review Material
# Ensure local main ref is current (worktrees can be stale)
git fetch origin main --quiet
git diff main...HEAD --stat
git diff main...HEAD
If $ARGUMENTS specifies a scope, filter the diff to those paths only.
Step 2: Load Spec Context (NO implementation context)
- Read
specs/CONSTITUTION.md - Map changed files to specs by grepping all
specs/*.mdfiles for**Code:**frontmatter lines. Match changed file paths against code path prefixes to find governing specs. - Read each relevant spec — extract ONLY the
## Acceptance Criteriasection - Do NOT read any plan files, task descriptions, or implementation notes
Step 2b: Load QA Findings for Dedup
If .qa-findings.json exists at the repo root (written by /qa), include it in each reviewer subagent prompt as an "Already found by QA" appendix. QA findings are permitted reviewer metadata — the sanctioned exception to Step 3's isolation rule: they reveal prior findings, not implementation intent, and reviewers may use them ONLY for deduplication. Reviewers should NOT re-report QA findings that were fixed (fixed: true) unless the fix introduced a new problem. If the file is absent, skip this step.
Step 3: Dispatch Impartial Reviewer
For large diffs (>10 files), use per-file chunking instead of a single subagent:
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 · 134 lines · 28 tokens per session scan A c80f0543082f
review is a skill published in the GitHub repository joshsmithxrm/power-platform-developer-suite (7 stars, last pushed 6d ago), licensed MIT. It adds 28 tokens to every session and 1,346 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 2026-08-31.
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