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 boshi-xixixi/TraeSkill --skill agent-owasp-compliancegit clone --depth 1 https://github.com/boshi-xixixi/TraeSkillWrote 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/boshi-xixixi/traeskill/agent-owasp-compliance)<a href="https://agentmods.dev/skills/boshi-xixixi/traeskill/agent-owasp-compliance"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/agent-owasp-compliance/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/boshi-xixixi/traeskill/agent-owasp-compliance"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/agent-owasp-compliance.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 | $0.00122 | $0.02741 |
| Opus 5 | $0.00061 | $0.01371 |
| Sonnet 5 | $0.00024 | $0.00548 |
| Haiku 4.5 | $0.00012 | $0.00274 |
Grade A, and why
agent-owasp-compliance scanned grade A with 1 finding 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 10d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
- No `subprocess.run(shell=True)` with user-controlled input Copies of this mod
2 near-identical copies found in the catalogue:
- agent-owasp-compliance — 100% identical, 0 lines differ
- agent-owasp-compliance — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 324 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent OWASP ASI Compliance Check
Evaluate AI agent systems against the OWASP Agentic Security Initiative (ASI) Top 10 — the industry standard for agent security posture.
Overview
The OWASP ASI Top 10 defines the critical security risks specific to autonomous AI agents — not LLMs, not chatbots, but agents that call tools, access systems, and act on behalf of users. This skill checks whether your agent implementation addresses each risk.
Codebase → Scan for each ASI control:
ASI-01: Prompt Injection Protection
ASI-02: Tool Use Governance
ASI-03: Agency Boundaries
ASI-04: Escalation Controls
ASI-05: Trust Boundary Enforcement
ASI-06: Logging & Audit
ASI-07: Identity Management
ASI-08: Policy Integrity
ASI-09: Supply Chain Verification
ASI-10: Behavioral Monitoring
→ Generate Compliance Report (X/10 covered)
The 10 Risks
| Risk | Name | What to Look For |
|---|---|---|
| ASI-01 | Prompt Injection | Input validation before tool calls, not just LLM output filtering |
| ASI-02 | Insecure Tool Use | Tool allowlists, argument validation, no raw shell execution |
| ASI-03 | Excessive Agency | Capability boundaries, scope limits, principle of least privilege |
| ASI-04 | Unauthorized Escalation | Privilege checks before sensitive operations, no self-promotion |
| ASI-05 | Trust Boundary Violation | Trust verification between agents, signed credentials, no blind trust |
| ASI-06 | Insufficient Logging | Structured audit trail for all tool calls, tamper-evident logs |
| ASI-07 | Insecure Identity | Cryptographic agent identity, not just string names |
| ASI-08 | Policy Bypass | Deterministic policy enforcement, no LLM-based permission checks |
| ASI-09 | Supply Chain Integrity | Signed plugins/tools, integrity verification, dependency auditing |
| ASI-10 | Behavioral Anomaly | Drift detection, circuit breakers, kill switch capability |
Check ASI-01: Prompt Injection Protection
Look for input validation that runs before tool execution, not after LLM generation.
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.
- 10d ago First seen · 324 lines · 122 tokens per session scan A 5c1f92c48888
agent-owasp-compliance is a skill published in the GitHub repository boshi-xixixi/TraeSkill (262 stars, last pushed 4mo ago), licensed MIT. It adds 122 tokens to every session and 2,741 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
azure-health-data-services
Expert knowledge for Azure Health Data Services development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using FHIR/DICOM APIs, bulk import/export, de-identification…
nist-ai-rmf
AI risk assessment using NIST AI RMF 1.0 framework. Evaluate AI systems across 4 core functions (Govern, Map, Measure, Manage) for trustworthy and responsible AI deployment.
gdpr-audit
GDPR compliance audit of code, plans, schemas, or IaC. Produces a findings report with article citations, severity, confidence, and fixes; flags evidence gaps. Not a substitute for a DPO/lawyer.
iso-42001-ai-governance
AI governance readiness and gap assessment using ISO/IEC 42001:2023. Evaluate AI management-system practices for risk management, accountability, transparency, security, and continuous improvement.
<skill-name>
A template for defining a coding-agent skill, including its title, trigger situations, overview, workflow, common mistakes, and optional references.
akf-trust-metadata
The AI native file format. EXIF for AI — stamps every file with trust scores, source provenance, and compliance metadata. Embeds into 20+ formats (DOCX, PDF, images, code). EU AI Act, SOX, HIPAA aud.