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 andregusman-raiz/a-gusman-claude --skill ag-referencia-escutagit clone --depth 1 https://github.com/andregusman-raiz/a-gusman-claudeWrote 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/andregusman-raiz/a-gusman-claude/ag-referencia-escuta)<a href="https://agentmods.dev/skills/andregusman-raiz/a-gusman-claude/ag-referencia-escuta"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-referencia-escuta/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/andregusman-raiz/a-gusman-claude/ag-referencia-escuta"><img src="https://agentmods.dev/badge/skills/andregusman-raiz/a-gusman-claude/ag-referencia-escuta.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 319 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Excessive Agency · line 4 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00024 | $0.05826 |
| Opus 5.5 | $0.00010 | $0.02330 |
| Sonnet 5.5 | $0.00005 | $0.01165 |
| Haiku 4.5 | $0.00002 | $0.00583 |
Grade A, and why
ag-referencia-escuta 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 1mo 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 — 382 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Escuta — Sistema de Transcricao Local
Referencia para acessar e consultar dados do sistema escuta em sessoes Claude Code.
O que e o sistema escuta
Daemon macOS de transcricao ambiente continua:
- Captura audio do microfone INTECK continuamente via
sounddevice - Processa VAD (silero) + ASR (whisper-server local) em background
- Persiste segmentos transcritos no SQLite com FTS5
- Organiza em blocos (reuniao/ambiente) e escreve no vault Obsidian 25-Escuta
- Nunca persiste audio cru — apenas texto transcrito
DB path
~/.local/share/escuta/escuta.db
Sempre abrir em modo read-only para nao competir com o daemon:
import sqlite3
conn = sqlite3.connect("file:~/.local/share/escuta/escuta.db?mode=ro", uri=True)
Schema (4 tabelas principais)
segments
CREATE TABLE segments (
id INTEGER PRIMARY KEY AUTOINCREMENT,
ts_start TEXT NOT NULL, -- ISO8601 UTC, ex: "2026-06-12T14:30:00.123456"
ts_end TEXT NOT NULL,
text TEXT NOT NULL, -- texto transcrito
device TEXT NOT NULL, -- nome do dispositivo de audio
event_id TEXT, -- FK para events (pode ser NULL)
block_id INTEGER, -- FK para blocks (NULL se nao agrupado, -1 se descartado)
no_speech_prob REAL DEFAULT 0.0,
avg_logprob REAL DEFAULT 0.0,
embedding BLOB, -- embedding de voz TEMPORARIO (apagado pos-clustering)
embedding_confidence REAL,
speaker_label TEXT, -- "A"/"B"/nome do speaker apos diarizacao
speaker_id INTEGER, -- FK para speakers
speaker_conf REAL, -- v5: confianca 0-1 da atribuicao
speaker_source TEXT, -- v5: acoustic|text|fused|conflict|none|manual
speaker_locked INTEGER DEFAULT 0 -- v10: 1 = edicao manual; diarizacao NAO sobrescreve
);
-- FTS5 virtual table para busca full-text
CREATE VIRTUAL TABLE segments_fts USING fts5(text, content=segments, content_rowid=id);
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.
- 1mo ago First seen · 382 lines · 24 tokens per session scan A 6d53e6efa9e5
ag-referencia-escuta is a skill published in the GitHub repository andregusman-raiz/a-gusman-claude (18 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 5,826 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
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