Borrowing it
Nothing to install: this file belongs to senda-labs/DQIII8. 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/senda-labs/DQIII8/main/.claude/commands/svsi-review.mdgit clone --depth 1 https://github.com/senda-labs/DQIII8Wrote 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/commands/senda-labs/dqiii8/svsi-review)<a href="https://agentmods.dev/commands/senda-labs/dqiii8/svsi-review"><img src="https://agentmods.dev/badge/commands/senda-labs/dqiii8/svsi-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/commands/senda-labs/dqiii8/svsi-review"><img src="https://agentmods.dev/badge/commands/senda-labs/dqiii8/svsi-review.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 | $0.00412 |
| Opus 5 | $0.00000 | $0.00206 |
| Sonnet 5 | $0.00000 | $0.00082 |
| Haiku 4.5 | $0.00000 | $0.00041 |
Grade A, and why
svsi-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 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.
What it actually says
/svsi-review — Pre-revisión Semántica de Informes
Usage
/svsi-review {slug} # modo interactivo en sesión Claude Code /svsi-review --batch {file} # delega a pre_drive_review.py (tmux, no en sesión) /svsi-review --stats # métricas acumuladas desde SQLite
What it does
- Invoca
tools.review.engine.review_slug({slug})— 11 rules deterministas - Escribe
companies/{slug}/review/review_report.{json,md} - Para cada issue, según
remediation:surgical_edit→ propone Edit concreto usandoedit_hint, pide confirmación, aplicaregen_section→ generadata/svsi_handoff_{slug}.txtcon comando tmuxhuman_review→ marca para consultor ANOVAdismiss_only→ muestra para info, registra si se confirma FP
- Re-render:
python3 scripts/render_batch.py --slug {slug} --doc-type plan --force - Re-valida (max 3 iteraciones)
- Persiste resoluciones en SQLite (
pipeline.db)
Modos de uso disponibles
/svsi-review empresa-sl→ revisión interactiva de una empresapython3 scripts/pre_drive_review.py --slug-list data/tanda3_slugs.txt→ batch shadow (desde tmux)python3 scripts/pre_drive_review.py --mode gate --slug-list ...→ batch gate (desde tmux)
Restricciones
- CLAUDECODE=1 bloquea orchestrator —
regen_sectionrequiere tmux externo - Máximo 3 iteraciones de corrección por empresa
- Nunca editar
report_content_*.jsonsin confirmación explícita del usuario - Nunca llamar
core.cli run/resume— bloqueado por CLAUDECODE=1
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 · 30 lines · 0 tokens per session scan A 0f73dce11bc8
svsi-review is a command published in the GitHub repository senda-labs/DQIII8 (11 stars, last pushed 23d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 412 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.
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