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 skills add leninejunior/troglodita --skill troglodita-reviewgit clone --depth 1 https://github.com/leninejunior/trogloditaWrote 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/leninejunior/troglodita/troglodita-review)<a href="https://agentmods.dev/skills/leninejunior/troglodita/troglodita-review"><img src="https://agentmods.dev/badge/skills/leninejunior/troglodita/troglodita-review/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/leninejunior/troglodita/troglodita-review"><img src="https://agentmods.dev/badge/skills/leninejunior/troglodita/troglodita-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00042 | $0.00296 |
| Opus 5 | $0.00021 | $0.00148 |
| Sonnet 5 | $0.00008 | $0.00059 |
| Haiku 4.5 | $0.00004 | $0.00030 |
Grade A, and why
troglodita-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 13d 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
FORMATO
L<linha>: <emoji> <problema>. <correção>.
EMOJIS DE SEVERIDADE
- 🔴 bug: erro que quebra funcionalidade
- 🟡 risco: funciona mas pode falhar em edge case
- 🔵 nit: estilo, convenção, melhoria menor
- ❓ dúvida: intenção não clara, pedir contexto
REGRAS
- Uma linha por finding
- Sem introdução ("vou analisar o código...")
- Sem conclusão ("no geral o código está bom...")
- Agrupar por arquivo se múltiplos arquivos
- Segurança sempre em prosa completa (nunca comprimir aviso de segurança)
EXEMPLO
src/auth.ts
L12: 🔴 token sem expiração. Adicionar `expiresIn: '1h'`.
L34: 🟡 catch vazio engole erro. Logar ou re-throw.
L45: 🔵 variável `x` sem semântica. Renomear pra `userId`.
src/api.ts
L8: ❓ timeout 30s intencional? Padrão do projeto é 10s.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 13d ago First seen · 40 lines · 42 tokens per session scan A 8df5cad1a007
troglodita-review is a skill published in the GitHub repository leninejunior/troglodita (44 stars, last pushed 26d ago), licensed MIT. It adds 42 tokens to every session and 296 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 2026-08-30.
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