Borrowing it
Nothing to install: this file belongs to TalonT-Org/AutoSkillit. 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/TalonT-Org/AutoSkillit/main/.claude/skills/audit-defense-standards/SKILL.mdgit clone --depth 1 https://github.com/TalonT-Org/AutoSkillitWrote 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/talont-org/autoskillit/audit-defense-standards)<a href="https://agentmods.dev/skills/talont-org/autoskillit/audit-defense-standards"><img src="https://agentmods.dev/badge/skills/talont-org/autoskillit/audit-defense-standards/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/talont-org/autoskillit/audit-defense-standards"><img src="https://agentmods.dev/badge/skills/talont-org/autoskillit/audit-defense-standards.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 | $0.00060 | $0.01204 |
| Opus 5 | $0.00030 | $0.00602 |
| Sonnet 5 | $0.00012 | $0.00241 |
| Haiku 4.5 | $0.00006 | $0.00120 |
Grade A, and why
audit-defense-standards 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 9d 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 — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Defense Standards Audit Skill
Audit the codebase against defense standards derived from historical bug pattern analysis. Each standard represents an architectural lesson learned from real bugs - a guard that prevents an entire class of bugs, not just one instance.
Standards are added here when /design-guards recommends them and the user approves.
When to Use
- User says "audit defenses", "audit defense standards", "check defenses"
- As a periodic health check to catch regressions
- After major refactors to verify guards still hold
Critical Constraints
NEVER:
- Modify any source code files
- Update an existing report - always generate new
ALWAYS:
- Use subagents for parallel exploration (one per standard or group)
- All output goes under
temp/audit-defense-standards/(create if needed) - Final report:
temp/audit-defense-standards/defense_audit_{YYYY-MM-DD_HHMMSS}.md - Subagents must NOT create their own files - they return findings in their response text only
- Provide file paths and line numbers for violations
- Categorize by severity
Defense Standards Template
This skill requires project-specific defense standards. Define them in this section following the format below.
Example Defense Standards
The following examples show common patterns applicable to many codebases. Replace these with project-specific standards derived from your bug pattern analysis.
DS-1: Typed Boundaries Over Raw Data Access
Rule: Data crossing component boundaries must pass through typed accessors or validation. No raw dict.get() or unvalidated external input at boundary crossings.
Audit Strategy:
- Find raw dict/JSON access on data crossing component boundaries
- Check that boundary-crossing functions use typed parameters, not
Dict[str, Any]or unvalidated strings - Verify no mutation of caller's data (
.pop()on function parameters) - Look for direct external input consumption without schema validation
Severity: HIGH
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.
- 9d ago First seen · 159 lines · 60 tokens per session scan A de97cd854a53
audit-defense-standards is a skill published in the GitHub repository TalonT-Org/AutoSkillit (5 stars, last pushed yesterday), licensed MIT. It adds 60 tokens to every session and 1,204 once invoked, about $0.0003 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 2026-08-31.
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