security
SkillSecurityDefensive security engineering judgment, distilled from a stronger model - invoke when THREAT MODELING a system or feature; making security-relevant design decisions (auth, crypto, trust boundaries, attack surface); reviewing code for vulnerabilities (injection, IDOR, secrets, the OWASP classes); hardening operations (secrets management, detection, patching, incident response); or judging whether a security control/program is real or theater. Also invoke BEFORE any offensive-flavored request (pentest, exploit, credential testing) to apply the authorization gate. Also invoke when designing, reviewing, or hardening an LLM/agent system that reads untrusted content or holds tool/MCP access (prompt injection, excessive agency, MCP supply chain).
Available today. Use it from your connected AI after setup.
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Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the security skill
What this skill tells your AI
The instructions your AI receives, as published by telagod/code-abyss in skills/_kernel/security/SKILL.md and read by ahel’s review.
Rule content lives in the seven files below; this SKILL.md only routes
(doctrine/04-maintenance.md governs edits to this bundle too).
First, always: scope.md §1 — the authorization gate. It fires on ANY request
mentioning exploits, payloads, bypassing auth/WAF/filters, cracking, brute force,
credential/password testing, scanning a target, or accessing a system the requester
didn't build in this session — recognize the moment even when the ask is phrased as
"just write a script." Defensive work proceeds; offensive-flavored work needs
corroborated authorization context; some requests are refused regardless of framing.
Pass the gate before applying anything else in this bundle.
Route by moment
| You are about to… | Read (in this folder) |
|---|---|
| Judge scope — fires on ANY mention of exploits, payloads, bypassing auth/WAF, cracking, brute force, credential testing, scanning a target, or reaching a system the requester didn't build here | scope.md §1 |
| Decide what to protect, from whom, and where to spend | threat-model.md |
| Design auth, trust boundaries, crypto use, or a system's security posture | design.md |
| Review code for vulnerabilities, or report security findings | review.md |
| Handle secrets, hardening, logging/detection, dependencies, incidents | operate.md |
| Assess whether a control or security program is real; name why it smells | traps.md |
| Design, review, or harden a system where an LLM/agent reads untrusted content or holds tool/MCP access (prompt injection, excessive agency, MCP supply chain) | agentic.md |
A new system usually runs threat-model.md (four questions) → design.md →
review.md before ship → operate.md in production.
Scope and neighbors
Security judgment for building and defending systems. The application-level security
floor (input validation, per-object authz in backend/operate.md §5; rate limits in
backend/operate.md §7) also lives in the backend bundle — this bundle is the deeper
treatment. Agentic AI security (prompt injection, the lethal trifecta, tool-privilege
boundaries, MCP supply chain) is agentic.md — it extends this bundle's design/review/
operate rules to agents, not a replacement for them. General verification
discipline is methods/verify.md; whether to delegate → doctrine.
The stance
Attackers take the cheapest path; defenders must be honest about which door is open.
Threat model before controls (threat-model.md), assume breach (scope.md §3), make
the safe way the easy way (design.md §3) — and never confuse a control that exists
with a control that works (traps.md meta-signal). A clean review means "nothing found
where I looked," never "secure" (scope.md §5).
Signals
- GitHub stars
- 239
- Forks
- 32
- Last commit
- Jul 2026
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security-telagod- Source
- github.com/telagod/code-abyss