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/skills/svsi/SKILL.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/skills/senda-labs/dqiii8/svsi)<a href="https://agentmods.dev/skills/senda-labs/dqiii8/svsi"><img src="https://agentmods.dev/badge/skills/senda-labs/dqiii8/svsi/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/senda-labs/dqiii8/svsi"><img src="https://agentmods.dev/badge/skills/senda-labs/dqiii8/svsi.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 | $0.00087 | $0.01188 |
| Opus 5 | $0.00044 | $0.00594 |
| Sonnet 5 | $0.00017 | $0.00238 |
| Haiku 4.5 | $0.00009 | $0.00119 |
Grade A, and why
svsi 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 11d 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/svsi-review — Pre-revisión Semántica de Informes
Proyecto: /root/dqiii8/my-projects/intl-reports/
Reglas/autoridad canónica: my-projects/intl-reports/tools/review/authority.py +
my-projects/intl-reports/tests/test_svsi_authority.py +
my-projects/intl-reports/tests/test_svsi_invariants.py — no existe un docs/SVSI_PLAN.md
separado; el código y su test suite son la única fuente de verdad.
Engine: my-projects/intl-reports/tools/review/engine.py → review_slug(slug)
Reporter: my-projects/intl-reports/tools/review/reporter.py → write_report(report)
Cuándo usar
- Antes de subir un informe al Drive de ANOVA
- Cuando un consultor pida verificar un informe específico
- Para detectar inconsistencias que
qa_pre_renderexistente no captura - Trigger explícito: "revisa {slug}", "/svsi-review {slug}", "pre-review {slug}"
Cuándo NO usar
- Para verificar la generación misma (eso lo hace
qa_pre_renderdentro del pipeline) - Para regenerar secciones (eso requiere tmux externo con
core.cli) - Para batch overnight (usar
my-projects/intl-reports/scripts/pre_drive_review.pydesde tmux externo)
Flujo en sesión (Interactive Mode)
Paso 1 — Ejecutar engine:
cd /root/dqiii8/my-projects/intl-reports
python3 -c "
from tools.review.engine import review_slug
from tools.review.reporter import write_report
report = review_slug('{slug}')
write_report(report)
print(f'Verdict: {report.summary[\"verdict\"]} C={report.summary[\"critical\"]} H={report.summary[\"high\"]} issues={len(report.issues)}')
"
Paso 2 — Leer report estructurado:
cat companies/{slug}/review/review_report.json
Paso 3 — Para cada issue, según remediation:
| remediation | Acción en sesión |
|---|---|
surgical_edit |
Proponer Edit usando edit_hint.path + edit_hint.new_template. Pedir confirmación. Aplicar. |
regen_section |
Mostrar handoff_command. Escribir data/svsi_handoff_{slug}.txt. NO ejecutar. |
human_review |
Mostrar al usuario para decisión manual del consultor ANOVA. |
dismiss_only |
Mostrar como informativo. Preguntar si registrar como FP. |
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.
- 11d ago First seen · 115 lines · 87 tokens per session scan A 119cac25dbc6
svsi is a skill published in the GitHub repository senda-labs/DQIII8 (11 stars, last pushed 22d ago), licensed MIT. It adds 87 tokens to every session and 1,188 once invoked, about $0.0004 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.
Other skills, from other repositories
ko-en-translator
A Korean-to-English and English-to-Korean translation tool for everyday text and technical material. It can preserve code, file paths, commands, and document formatting while translating surrounding text.
using-adaptive-harness
Auto-mode bootstrap for adaptive-harness. Intercepts tasks, routes to optimal harness, evaluates results. Use on every task when adaptive-harness auto-mode is active.
task-taxonomy
Reference for the 6-axis task taxonomy used by adaptive-harness routing. Use when user asks how tasks are classified.
harness-registry
Manage the adaptive-harness pool: list, inspect, promote, demote harnesses. Use when user asks about harness status or wants to manage the pool.
localization-testing
AI-powered localization and internationalization testing skill for e-commerce sites. Designs multi-language QA frameworks, currency validation checks, shipping info verification, and regional compliance audits.
xcode-localization-workflow
Plan, implement, review, and validate Apple-platform localization with Xcode String Catalogs. Use for .xcstrings setup, localizable SwiftUI and Foundation text, string tables, comments, plural and device variants, XLIFF handoff, locale UI checks, or Xcode 27 agent-assisted translation.