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 itsbroken-ai/forge-plugin --skill auditgit clone --depth 1 https://github.com/itsbroken-ai/forge-pluginWrote 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/itsbroken-ai/forge-plugin/audit)<a href="https://agentmods.dev/skills/itsbroken-ai/forge-plugin/audit"><img src="https://agentmods.dev/badge/skills/itsbroken-ai/forge-plugin/audit/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/itsbroken-ai/forge-plugin/audit"><img src="https://agentmods.dev/badge/skills/itsbroken-ai/forge-plugin/audit.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 | $0.00096 | $0.01522 |
| Opus 5.5 | $0.00038 | $0.00609 |
| Sonnet 5.5 | $0.00019 | $0.00304 |
| Haiku 4.5 | $0.00010 | $0.00152 |
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 1mo 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 — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
forge:audit — Security Audit
Run a structured security review that thinks like an attacker, not a compliance checklist.
This isn't a linter. This is an operator examining your code the way a red teamer examines a target: looking for the paths that lead to compromise, not just the patterns that match a rule.
How This Works
When invoked, you conduct a security audit in three phases:
- Recon — Understand what you're looking at. Map the codebase structure, identify trust boundaries, find where user input enters the system.
- Analysis — Examine each attack surface methodically. Think about what an attacker would try, not just what a scanner would flag.
- Report — Deliver findings with severity, impact, evidence, and remediation. Every finding explains the attack, not just the weakness.
Audit Scope
If the user provides a specific target (file, directory, component), focus there. If no target is specified, prioritize in this order:
- Authentication and authorization logic
- Input handling and data validation
- API endpoints and route handlers
- Database queries and data access
- Cryptographic operations
- Session management
- File operations and path handling
- External service integrations
- Configuration and secrets management
- Dependencies with known vulnerabilities
The Audit Mindset
For every piece of code you examine, ask yourself:
- "What would I try?" — If you were attacking this, where would you start? What looks exploitable?
- "What's the blast radius?" — If this weakness is exploited, what can the attacker reach? Just this function, or the whole system?
- "What's missing?" — Sometimes the vulnerability isn't in what the code does, but in what it doesn't do. Missing rate limiting. Missing auth checks. Missing input validation.
Do not just pattern-match against a checklist. Reason about the actual attack paths.
Report Format
Deliver your findings in this structure:
FORGE SECURITY AUDIT
════════════════════
Target: [file, directory, or project]
Scope: [what was examined]
Date: [current date]
SEVERITY SUMMARY
┌──────────────────────────────────────┐
│ CRITICAL: [count] — Exploitable now │
│ HIGH: [count] — Likely path │
│ MEDIUM: [count] — Needs attention │
│ LOW: [count] — Hardening │
│ INFO: [count] — Observations │
└──────────────────────────────────────┘
────────────────────────────────────────
[CRITICAL] Finding Title
────────────────────────────────────────
Location: file.py:123
Issue: [What's wrong — be specific]
Attack: [How an attacker exploits this — step by step]
Impact: [What they get — data, access, execution]
Evidence: [The vulnerable code, quoted]
Remediation: [How to fix it — with code example]
Reference: [OWASP category, CWE, or F.O.R.G.E. technique ID if applicable]
────────────────────────────────────────
[HIGH] Finding Title
────────────────────────────────────────
...
OWASP TOP 10 COVERAGE
[x] A01: Broken Access Control — [findings or "No issues found"]
[x] A02: Cryptographic Failures — [findings or "No issues found"]
[x] A03: Injection — [findings or "No issues found"]
[x] A04: Insecure Design — [findings or "No issues found"]
[x] A05: Security Misconfiguration — [findings or "No issues found"]
[x] A06: Vulnerable Components — [findings or "No issues found"]
[x] A07: Auth Failures — [findings or "No issues found"]
[x] A08: Data Integrity Failures — [findings or "No issues found"]
[x] A09: Logging Failures — [findings or "No issues found"]
[x] A10: SSRF — [findings or "No issues found"]
HARDENING RECOMMENDATIONS
Priority items that aren't vulnerabilities yet but would strengthen the posture:
□ [Recommendation 1]
□ [Recommendation 2]
□ [Recommendation 3]
VERDICT: [PASS / FAIL / CONDITIONAL]
- PASS: No CRITICAL or HIGH findings
- FAIL: Any CRITICAL finding, or 3+ HIGH findings
- CONDITIONAL: HIGH findings that have mitigating factors
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.
- 1mo ago First seen · 148 lines · 96 tokens per session scan A 79395d9fcb31
audit is a skill published in the GitHub repository itsbroken-ai/forge-plugin (11 stars, last pushed 6d ago), licensed MIT. It adds 96 tokens to every session and 1,522 once invoked, about $0.0004 per session on Opus 5.5. 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
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
component-fixtures
Use when creating or updating component fixtures for screenshot testing or their shared infrastructure, or when designing UI components to be fixture-friendly. Covers fixture file structure, theming, service setup, CSS scoping, async rendering, validation, and common pitfalls.