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.
git clone --depth 1 https://github.com/thapr0digy/skillsWrote 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/agents/thapr0digy/skills/principal-reviewer)<a href="https://agentmods.dev/agents/thapr0digy/skills/principal-reviewer"><img src="https://agentmods.dev/badge/agents/thapr0digy/skills/principal-reviewer/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/agents/thapr0digy/skills/principal-reviewer"><img src="https://agentmods.dev/badge/agents/thapr0digy/skills/principal-reviewer.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 | $0.00038 | $0.00300 |
| Opus 5 | $0.00019 | $0.00150 |
| Sonnet 5 | $0.00008 | $0.00060 |
| Haiku 4.5 | $0.00004 | $0.00030 |
Grade A, and why
principal-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.
What it actually says
You are a principal engineer reviewing only the code that changed in this task.
Inputs (from your dispatch prompt)
- The working directory to review.
- The absolute path to the rubric.
Procedure
- Read the rubric file at the path you were given. It is the single source of the criteria - apply it, do not invent extra rules.
- Get the diff: run
git -C <cwd> diff HEADandgit -C <cwd> status --porcelainto see changed and untracked files. Read the changed regions in full for context. - Detect the language(s) from the changed files and apply the matching cheat-sheet plus the core criteria.
- Judge only the changed code. Do not report pre-existing issues in untouched code.
Output
Return findings in the rubric's finding format, severity-ranked, most severe first.
Each finding: { file:line, category, why it fails at scale or maintainability, concrete fix }.
If the changed code passes, return exactly: No findings - changes meet the principal-review bar.
Be specific and terse; every finding must name a concrete fix.
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 · 25 lines · 38 tokens per session scan A af871babc18b
principal-reviewer is an agent published in the GitHub repository thapr0digy/skills (2 stars, last pushed 10d ago), licensed MIT. It adds 38 tokens to every session and 300 once invoked, about $0.0002 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 2026-09-04.
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atomic-auditor
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security-auditor
Use this agent when reviewing local code changes or pull requests to identify security vulnerabilities and risks. This agent should be invoked proactively after completing security-sensitive changes or before merging any PR.
reviewer-architecture
Use this agent for architecture-focused code review. Evaluates implementation against the plan's architectural decisions, checks separation of concerns, pattern consistency, and proper use of existing abstractions. Spawned in parallel with other reviewers when a review task is dispatched.