Borrowing it
Nothing to install: this file belongs to lucasfevi/tbh-companion. 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/lucasfevi/tbh-companion/main/.claude/skills/tbh-reviewer/SKILL.mdgit clone --depth 1 https://github.com/lucasfevi/tbh-companionWrote 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/lucasfevi/tbh-companion/tbh-reviewer)<a href="https://agentmods.dev/skills/lucasfevi/tbh-companion/tbh-reviewer"><img src="https://agentmods.dev/badge/skills/lucasfevi/tbh-companion/tbh-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/skills/lucasfevi/tbh-companion/tbh-reviewer"><img src="https://agentmods.dev/badge/skills/lucasfevi/tbh-companion/tbh-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 | $0.00000 | $0.05579 |
| Opus 5 | $0.00000 | $0.02789 |
| Sonnet 5 | $0.00000 | $0.01116 |
| Haiku 4.5 | $0.00000 | $0.00558 |
Grade A, and why
tbh-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 12d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 12d ago First seen · 493 lines · 0 tokens per session scan A af58e0e93383
tbh-reviewer is a skill published in the GitHub repository lucasfevi/tbh-companion (22 stars, last pushed 24d ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 5,579 tokens. 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 skills, from other repositories
code-reviewer
Becomes a senior code reviewer who evaluates pull requests and code changes for correctness, security, performance, and maintainability. Use when the user asks for code review, PR feedback, code quality assessment, or merge readiness evaluation. Do NOT use when writing new code, debugging runtime errors, designing…
gateway-review-gate
Spec-driven review and verification gate for Gateway tasks across code, docs, slides, research, operations, and other deliverables.
Review a GitHub PR (via gh)
Review a specific GitHub pull request with gh — fetch the diff, fan out reviewers, consolidate, and optionally post the review. Requires the gh CLI or the GitHub MCP server.
Design doc (write -> review loop)
Draft a design document and iterate writer/reviewer subagents until consensus.
Implement (multi-agent loop)
Orchestrate an implement -> review -> fix loop with subagents until reviewers sign off.
Review changes (multi-agent)
Delegate read-only reviewers over the local changes/branch and consolidate findings.