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.
git clone --depth 1 https://github.com/TheBeardedBearSAS/claude-craftWrote 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/thebeardedbearsas/claude-craft/audit)<a href="https://agentmods.dev/commands/thebeardedbearsas/claude-craft/audit"><img src="https://agentmods.dev/badge/commands/thebeardedbearsas/claude-craft/audit.svg" alt="Measured on agentmods" 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 | $0.00017 | $0.04092 |
| Opus 5 | $0.00009 | $0.02046 |
| Sonnet 5 | $0.00003 | $0.00818 |
| Haiku 4.5 | $0.00002 | $0.00409 |
Grade A, and why
audit 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 3d 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 — 377 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Équipe d'Audit Complet - Audit Multi-Technologie Parallèle
Orchestrer un audit complet parallèle sur plusieurs stacks technologiques en utilisant les Claude Code Agent Teams (v2.1.32+). Lance un agent leader (opus) plus N workers stack-auditor (haiku), un par stack technologique détectée, jusqu'à un maximum configurable.
Arguments
$ARGUMENTS
--techs=auto: Auto-détection des technologies (par défaut). Ou spécifier en séparant par des virgules :--techs=symfony,react--max-workers=4: Nombre maximum de workers auditeurs en parallèle (par défaut : 4, max : 4)--output-dir=<path>: Répertoire de sortie personnalisé pour les résultats d'audit--max-cost=<dollars>: Budget maximum en dollars. Si le coût parallèle estimé dépasse ce seuil, l'exécution est bloquée avec un message OVER BUDGET--dry-run: Afficher la composition de l'équipe et le coût estimé sans exécuter--skip-aggregation: Sortir les résultats par stack sans les fusionner--sequential: Exécuter les audits séquentiellement au lieu de les paralléliser (pas de surcoût Agent Teams). Utile pour les projets mono-technologie ou quand les Agent Teams ne sont pas disponibles.
Prérequis
- Claude Code v2.1.32+ avec support Agent Teams
- Variable d'environnement
CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1définie - Projet avec 2+ stacks technologiques détectées (les projets mono-stack doivent utiliser le flag
--sequential) Tools/AgentTeams/lib/compatibility-check.shdisponibleTools/AgentTeams/lib/result-aggregator.shdisponibleTools/AgentTeams/lib/cost-estimator.shdisponible
ℹ️ Ces scripts sont installés automatiquement par claude-craft (
make install-agentteamsou via l'installeur). S'ils sont absents, la commande continue en mode dégradé : estimation de coût manuelle et--ralph-modeindisponible (non bloquant).
Garde-Fou Fast Mode (Confirmation Bloquante)
OBLIGATOIRE : Avant de lancer l'équipe, le leader DOIT :
- Détecter si le Fast Mode est actif (indicateur lightning bolt dans le terminal)
- Si Fast Mode actif :
- Afficher le dashboard comparatif standard vs fast via
cost-estimator.sh --fast-mode - Afficher un avertissement bloquant avec les coûts comparés :
⚠️ FAST MODE DÉTECTÉ — Coûts Opus 6x plus élevés ! | Mode | Input ($/M) | Output ($/M) | Coût estimé cet audit | |----------|-------------|--------------|----------------------| | Standard | $5.00 | $25.00 | ~$X.XX | | Fast | $30.00 | $150.00 | ~$Y.YY | Voulez-vous continuer en Fast Mode ? (oui/non) Recommandation : tapez /fast pour désactiver avant de continuer. - Attendre la confirmation explicite de l'utilisateur avant de poursuivre
- Si l'utilisateur refuse, abandonner avec un message suggérant
/fastpour désactiver
- Afficher le dashboard comparatif standard vs fast via
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.
- 3d ago First seen · 377 lines · 17 tokens per session scan A 82b80537c42d
audit is a command published in the GitHub repository TheBeardedBearSAS/claude-craft (105 stars, last pushed 4d ago), licensed MIT. It adds 17 tokens to every session and 4,092 once invoked, about $0.0001 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 2026-09-03.
Other commands, from other repositories
health-check
Run diagnostics on Claude Code toolkit configuration and status.
bootstrap
Verifies and repairs the Claude Code Toolkit installation.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.