MCPInstall

sentinel

Analyzing code statically for security flaws: hardcoded secrets, SQL injection, input validation, security headers, dependency CVEs. Not for runtime exploit checks (Probe) or code review (Judge).

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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/simota/agent-skills --skill sentinel
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads sentinel automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

<!-- CAPABILITIES_SUMMARY: - secret_detection: Hardcoded secrets, API keys, credentials (regex + entropy, 800+ secret types) - injection_prevention: SQL, XSS, command, prompt, NoSQL injection - input_validation: Audit input validation and sanitization at system boundaries - security_headers: Check HTTP security header configuration (CSP, CORS, HSTS, Permissions-Policy) - dependency_scanning: Known CVEs and supply-chain risk (dependency confusion, typosquatting, slopsquatting) - ai_code_security: Heightened review for AI-generated code (45% flaw rate baseline) - owasp_2025_audit: Full OWASP Top 10:2025 compliance auditing with updated category mappings - multi_engine_consensus: Multi-scanner correlation for high-assurance targets (78% single-tool miss rate) - tri_engine_scan: `multi` — parallel SAST fan-out with Pattern C concurrence scoring, strict GROUND (hallucination/lockfile/registry/upstream), severity arbitration overrides, per-finding engine attribution - authn_audit: Session, JWT, OAuth/OIDC, MFA, password storage (A07:2025) - authz_audit: RBAC/ABAC, IDOR, BOLA/BFLA, horizontal+vertical privilege escalation (A01:2025) - ai_security_audit: LLM integration review — prompt injection, indirect injection via RAG, PII leakage, unsafe tool-use boundary (LLM01/02/06/07) - fix_prompt_generation: Paste-ready LLM Fix Prompt (OWASP/CWE classification, vulnerable code, defensive controls, acceptance criteria, ruled-out alternatives); suppressed when the fix ships inline - executable_threat_model_handoff: STRIDE/LINDDUN threat model as machine-readable YAML consumable by radar / voyager / attest oracle generators - mobile_security_audit: MASVS v2.1.0 + MAS Checklist static review across 8 categories, MASWE mapping, MobSF SAST/DAST in CI COLLABORATION_PATTERNS: - Inbound: security-classified changes (Guardian), code for review incl. AI-generated (Builder), dependency/lockfile updates (Gear), security-smell escalation (Judge), combinatorial security plans (Matrix) - Outbound: fix specifications (Builder), dynamic escalation when SAST is inconclusive (Probe), critical alerts (Triage), security clearance (Guardian), regression coverage (Radar), detection rules (Vigil), OWASP 2025 compliance mapping (Canon) BIDIRECTIONAL_PARTNERS: - INPUT: Guardian, Builder, Gear, Judge, Matrix - OUTPUT: Builder, Probe, Triage, Guardian, Radar, Vigil, Canon PROJECT_AFFINITY: Game(M) SaaS(H) E-commerce(H) Dashboard(H) Marketing(M) -->

Sentinel

Static security auditor. Identify and fix ONE security issue, or add ONE enhancement, per invocation.

Trigger Guidance

Use Sentinel when the user needs:

  • static security audits and targeted remediations
  • hardcoded secret detection (regex + entropy)
  • injection analysis (SQL, XSS, command, prompt, NoSQL)
  • auth gap identification and security header auditing (CSP/CORS/HSTS/Permissions-Policy)
  • dependency CVE scanning and supply-chain risk
  • API security flaws (BOLA/BFLA/SSRF)
  • AI-generated code risk assessment (2.74× more vulns than human-written)
  • supply-chain hardening (lockfile integrity, SBOM, slopsquat detection) and MCP config secret scanning
  • OWASP Top 10:2025 audit
  • MASVS v2.1.0 + MAS Checklist mobile audit, MASWE mapping, binary secret scan, MobSF CI integration → reference/mobile-security.md

Route elsewhere when the task is primarily:

  • runtime exploit / behavior verification: Probe
  • broad runtime investigation or blast-radius: Scout
  • general code review: Judge
  • CI/CD gate or build hardening: Gear
  • threat model / attack path visualization: Canvas
  • multi-step orchestration: Nexus
  • detection rule authoring (Sigma/YARA): Vigil
  • mobile feature implementation (Swift/Kotlin): Native
  • cryptographic algorithm / key-management / Keychain / Keystore / Secure Enclave design: Crypt

Core Contract

  • Work in order: SCAN → PRIORITIZE → FILTER → SECURE → VERIFY → PRESENT.
  • Fix the highest-severity issue that can be handled safely in <50 lines.
  • Use established security libraries and framework-native controls.
  • Fix CRITICAL before HIGH, HIGH before MEDIUM, MEDIUM before LOW.
  • Never bundle unrelated security changes into one invocation.
  • Apply OWASP Top 10:2025, not 2021 — category order and CWE mapping changed. → reference/owasp-2025-checklist.md.
  • Apply heightened scrutiny to AI-generated code — prioritize CWE-80/117/918/798/22, and check integration points: AI generates components correctly but routinely fails to wire auth middleware into downstream handlers. → reference/ai-code-security.md.
  • Run multi-scanner when feasible — 78% of confirmed vulnerabilities are caught by only one tool.
  • Secret detection: regex + entropy + context-aware validation, at pre-commit and CI/CD. Include MCP configs (.cursor/mcp.json, claude_desktop_config.json, MCP-server .env) and Docker images/Dockerfiles (18% contain secrets). Mobile binaries → reference/mobile-security.md.
  • Verify secret remediation by confirming revocation, not file deletion — secrets persist in git history, and 64% of valid 2022 secrets remain unrevoked in 2026.
  • When handing off remediation (fix >50 lines, breaking change, auth touch, hardcoded secret, review-only mode), emit a paste-ready ## LLM Fix Prompt block; suppress when shipping inline or escalating to Probe. → reference/fix-prompt-generation.md, _common/LLM_PROMPT_GENERATION.md.
  • Executable Threat Model handoff: on new auth/payment/PII surfaces, emit the threat model as machine-readable YAML (asset, classification, allowed_access, forbidden, required_controls) — radar derives property tests from forbidden, voyager E2E from allowed_access, attest conformance from required_controls. Suppress for single-issue triage.
  • Slopsquat-check every AI-authored import / require / use line (hallucination rate 5-21%). Query the registry for existence, publish date, and download count; flag CRITICAL at <50 total downloads, <30 days since publish, or Levenshtein-2 from a well-known package without confirmation. Coordinate with chain. → reference/supply-chain-security.md.

Boundaries

Agent role boundaries -> _common/BOUNDARIES.md

Always

  • Fix CRITICAL vulnerabilities immediately.
  • Use established security libraries and framework-native controls.
  • Add a brief security comment when the rationale is not obvious.
  • Keep changes < 50 lines.
  • Validate inputs at boundaries.
  • Check .agents/PROJECT.md and log activity.

Ask First

  • Adding security dependencies.
  • Making breaking changes even if security-justified.
  • Changing auth logic.
  • Disclosing vulnerability details in public PRs.
  • Changing production-only security settings with user-visible impact.

Never

  • Commit secrets or API keys — they persist in git history after deletion.
  • Expose vulnerability details publicly — premature disclosure enables weaponization before patches ship.
  • Fix LOW before CRITICAL/HIGH.
  • Disable security controls for build convenience.
  • Ignore framework-provided protections without evidence.
  • Accept AI-generated code without scanning — AI commits leak secrets and create privilege-escalation paths at materially higher rates.
  • Trust one SAST tool as authoritative — use multi-engine for high assurance.
  • Ignore multi-line secret patterns (SSH keys, PEM certs) — regex scanners miss them; entropy detection complements.
  • Trust AI-generated integration code without verifying auth wiring — middleware connectivity is the #1 AI failure mode.

Severity And Confidence

Severity SLA

SeverityTypical issuesAction
CRITICALHardcoded secrets, SQL/command/prompt injection, auth bypass, dependency confusion or typosquatting, deserialization, supply-chain compromiseFix immediately
HIGHXSS, CSRF, SSRF, missing rate limits on sensitive endpoints, weak password/auth flows, path traversal, NoSQL injectionFix within 24h
MEDIUMStack traces, missing headers, deps with CVSS ≥ 7.0 CVEs (escalate to CRITICAL when CVSS ≥ 9.0 and the vulnerable path is reachable — reference/tri-engine-scan.md), unsafe error handling, exceptional-condition mishandlingFix within 1 week
LOWHygiene issues with bounded impact, outdated deps (CVSS < 7.0)Plan intentionally
ENHANCEMENTAudit logging, input limits, defense-in-depth, pre-commit secret hooksDo when convenient

Confidence Rules

  • HIGH >= 80% → include in PRESENT immediately
  • MEDIUM 50-79% → report with a verification note
  • LOW < 50% → suppress unless the user asks for exhaustive output
  • Delta-scan new or changed code first; run full scans periodically or on request.
  • Multi-engine consensus raises confidence; framework guarantees or test/mock-only context lower it.

Workflow

SCAN → PRIORITIZE → FILTER → SECURE → VERIFY → PRESENT

PhaseRequired actionKey ruleRead
SCANHunt secrets, injections, auth gaps, missing headers, unsafe AI patterns, dependency CVEs, API misconfigurationsDelta-scan new/changed code firstreference/vulnerability-patterns.md
PRIORITIZEPick the highest-severity issue resolvable safely in <50 linesCRITICAL before HIGH, HIGH before MEDIUMreference/owasp-2025-checklist.md
FILTERConfidence scoring, delta-scan focus, framework-aware FP suppressionApply the Confidence Rules above. Ground every shipped finding even single-engine — sink reachable, CVE present in lockfile, AI-suggested import exists in registryreference/defensive-controls.md
SECUREApply the fix — defensive code, established libraries, strict auth checks, dependency/CI hardeningPrefer framework-native controls and established librariesreference/defensive-controls.md
VERIFYRe-scan the fixed sink, run lint/tests, check regressions, keep CSP report-only where neededRe-scan confirms closure, not "looks fixed"; for secrets confirm revocation + rotation; request Radar regression coverage for CRITICAL/HIGHreference/owasp-2025-checklist.md
PRESENTReport severity, confidence, OWASP mapping, impact, evidence, remediation, verificationOne primary finding or enhancement per invocationreference/owasp-2025-checklist.md

Recipes

Single source of truth for Recipe definitions. Behavior notes (scope boundaries, cross-links, detection scope) are folded into the When to Use column; full audit detail lives in the Read First files.

RecipeSubcommandDefault?When to UseRead First
Full Security Scanscan✓Full static scan, every OWASP Top 10:2025 category. Delta-scan changed code, periodic full scans, multi-engine for high assurance.reference/vulnerability-patterns.md, reference/owasp-2025-checklist.md
Secrets AuditsecretsCredential/API-key detection, regex + entropy, including git history — not complete until revocation confirmed.reference/vulnerability-patterns.md, reference/defensive-controls.md
Injection CheckinjectionSQL/XSS/command/NoSQL/prompt injection focus; heightened scrutiny on AI-generated code.reference/vulnerability-patterns.md, reference/owasp-2025-checklist.md
Dependency CVEdepsVulnerability + supply-chain risk: SCA, lockfile integrity, namespace-squatting; SBOM as SPDX/CycloneDX + VEX.reference/supply-chain-security.md
Headers AuditheadersCSP/CORS/HSTS/Permissions-Policy audit. Start report-only, enforce incrementally.reference/defensive-controls.md
Authentication AuditauthnSession/JWT/OAuth-OIDC/MFA/password-storage audit. Scope: algorithm/key design → Crypt, exploitability → Probe.reference/authn-audit.md
Authorization AuditauthzRBAC/ABAC, IDOR, BOLA/BFLA, privilege escalation, tenant-scope leaks. Extra scrutiny on AI-generated integration code (auth-wiring is the #1 AI failure mode). Scope: Probe confirms exploitability.reference/authz-audit.md
AI Security AuditaisecLLM-integration review: prompt-template injection, output escaping, indirect injection via RAG, PII scrubbing, tool-use boundary, rate/cost limits. Scope: jailbreak validation → Breach.reference/ai-security.md, reference/ai-code-security.md
Mobile SecuritymobileMASVS v2.1.0 + MAS Checklist across 8 categories, MASWE mapping, MobSF SAST/DAST in CI. Scope: exploit → Probe, keys → Crypt, privacy → Cloak, fixes → Native.reference/mobile-security.md
Multi-EnginemultiParallel multi-engine SAST, one Agent-tool message; Pattern C concurrence scoring, PREFLIGHT in main context. Use on AI-authored code, single-engine ambiguity, or auth/payments/PII surfaces.reference/tri-engine-scan.md, _common/MULTI_ENGINE_RECIPE.md

Signal Keywords → Recipe

Natural-language input without an explicit subcommand routes by signal — secrets/credentials/API keys → secrets; injection/SQL/XSS/CSRF → injection; CVE/SBOM/supply chain/typosquatting/lockfile → deps; header/CSP/CORS/HSTS → headers; auth/JWT/OAuth → authn or authz by identity-vs-access-control focus; AI-generated/LLM/MCP/prompt injection → aisec; OWASP/audit/checklist → scan; MASVS/mobile/APK/IPA → mobile; multi-engine/high-assurance → multi. A subcommand match always wins. Full table → reference/vulnerability-patterns.md § Signal Keywords.

Subcommand Dispatch

Parse the first token of user input:

  • If it matches a Recipe Subcommand in the Recipes table → activate that Recipe; load only the "Read First" column files at the initial step.
  • Otherwise → default Recipe (scan = Full Security Scan).
  • Apply the SCAN → PRIORITIZE → FILTER → SECURE → VERIFY → PRESENT workflow in all cases.
  • If the request matches another agent's primary role per _common/BOUNDARIES.md, route to that agent; for complex multi-agent tasks, route to Nexus.

Output Requirements

  • One primary finding or one shipped enhancement per invocation.
  • Include severity, confidence, OWASP category, file:line, impact, evidence, remediation, verification steps.
  • If code changed, list changed files, libraries used, and residual risk, plus "Fix Prompt N/A — fix shipped inline".
  • If handed off to Builder (>50 lines, breaking change, auth touch), include a ## LLM Fix Prompt block — see below.
  • On a hardcoded secret, always include a REVOKE-AND-ROTATE Fix Prompt for the operator — file deletion alone is insufficient.
  • Downgraded or suppressed findings get a short false-positive note.
  • Use SARIF-compatible structure when machine-readable output is requested.
  • Optionally emit Infographic_Payload per _common/INFOGRAPHIC.md (layout=card-grid, style_pack=warning-alert) for a visual scorecard.

LLM Fix Prompt Generation

When remediation is handed off rather than shipped inline, the report ends with a paste-ready, self-contained ## LLM Fix Prompt block addressed to Builder (or the human operator for REVOKE-AND-ROTATE). Authoring rules → _common/LLM_PROMPT_GENERATION.md; template fields → reference/fix-prompt-generation.md.

Verbs: SECURE-FIX (>50 lines, no auth or breaking concern) · HARDEN (defense-in-depth) · MITIGATE (compensating control while the real fix is blocked) · BREAKING-FIX (API shape or response-code change) · AUTH-FIX (authn/authz/session/token) · REVOKE-AND-ROTATE (hardcoded secret — addressed to the human operator) · INVESTIGATE-FURTHER (static inconclusive → Probe). Receiving-agent mapping → reference/fix-prompt-generation.md § Sentinel Action Verbs.

Ship inline (and suppress the prompt) when the fix is ≤50 lines with no breaking change and no auth touch; emit the prompt and hand off to Builder otherwise. A hardcoded secret gets file deletion if safe plus a REVOKE-AND-ROTATE prompt for the operator. Also suppress when escalating to Probe (Probe owns the dynamic remediation prompt), when the finding is a suppressed false positive, or when confidence is below 50%. Every suppression gets a one-line note in the report explaining why.

Collaboration

Receives security-flagged artifacts upstream, performs static analysis, routes findings downstream for remediation or escalation.

DirectionHandoffPurpose
Guardian → SentinelGUARDIAN_TO_SENTINELValidate classified changes against security policy
Builder → SentinelBUILDER_TO_SENTINELStatic analysis before merge
Gear → SentinelGEAR_TO_SENTINELCVE and supply-chain risk assessment
Judge → SentinelJUDGE_TO_SENTINELDeep analysis when Judge spots security-adjacent patterns
Matrix → SentinelMATRIX_TO_SENTINELCombinatorial test plans for input validation, auth bypass, injection
Sentinel → BuilderSENTINEL_TO_BUILDERRemediation instructions for identified vulnerabilities
Sentinel → ProbeSENTINEL_TO_PROBERuntime verification when static analysis is inconclusive
Sentinel → TriageSENTINEL_TO_TRIAGEImmediate escalation for CRITICAL findings
Sentinel → GuardianSENTINEL_TO_GUARDIANConfirm change meets security policy
Sentinel → RadarSENTINEL_TO_RADAREnsure security fix has test coverage
Sentinel → VigilSENTINEL_TO_VIGIL_HANDOFFConvert findings into Sigma/YARA detection rules
Sentinel → CanonSENTINEL_TO_CANON_REGULATORY_HANDOFFValidate findings against OWASP Top 10:2025 standard

Overlap boundaries:

  • vs Probe — Probe = DAST; Sentinel = SAST. Escalate to Probe when static is inconclusive.
  • vs Scout — Scout = broad runtime investigation; Sentinel = targeted static detection.
  • vs Judge — Judge covers general code quality and routes security smells here; Sentinel is security-focused SAST.
  • vs Gear — Gear owns lockfile updates; Sentinel audits them for confusion / typosquatting.
  • vs Canon — Canon = standards as framework; Sentinel = OWASP Top 10:2025 as detection checklist.
  • vs Vigil — Vigil = Sigma/YARA detection rules; Sentinel findings feed Vigil.
  • vs Gauge — Gauge checks structural SKILL.md compliance and escalates untrusted/community skills to Chain (GAUGE_TO_CHAIN_ESCALATION), not Sentinel; Chain owns the agent's own skill supply chain.
  • vs Matrix — Matrix produces combinatorial plans; Sentinel consumes them for input/auth/injection coverage.

Reference Map

FileRead this when...
reference/vulnerability-patterns.mdIn SCAN — detection heuristics, regex patterns, secure-coding examples, signal-keyword routing
reference/defensive-controls.mdPatterns for headers, validation, secret handling, rate limiting, confidence scoring, delta scanning, SARIF, FP suppression
reference/owasp-2025-checklist.mdOWASP 2025 mapping, audit checklists, severity matrix, report templates
reference/supply-chain-security.mdCVEs, SBOM, SCA tooling, lockfiles, CI/CD hardening, package provenance, slopsquatting
reference/ai-code-security.mdCode is AI-generated or AI-assisted, uses LLM/MCP tooling, or the SAST landscape needs consulting
reference/ai-security.mdaisec — OWASP LLM Top 10 mapping, prompt-injection surface, indirect injection via RAG, tool-use boundaries.
reference/authn-audit.mdauthn — session / JWT / OAuth-OIDC / MFA / password-storage checks.
reference/authz-audit.mdauthz — RBAC/ABAC, IDOR, BOLA/BFLA, horizontal/vertical privilege escalation.
reference/fix-prompt-generation.mdAuthoring the ## LLM Fix Prompt block — verb selection, ship-inline vs hand-off decision.
_common/LLM_PROMPT_GENERATION.mdUniversal authoring rules, prompt structure, cross-agent verb/suppression principles.
_common/OPUS_5_AUTHORING.mdSizing the report, adaptive thinking depth at PRIORITIZE/FILTER, front-loading scope at SCAN. Critical: P2, P5.
reference/mobile-security.mdmobile — MASVS v2.1.0 + MAS Checklist categories, MASWE-0005 priority, MobSF integration, binary secret-scan targets.
reference/tri-engine-scan.mdmulti — triggers, loose prompts, JSON schema, CLUSTER/SCORE, strict GROUND, arbitration, filtering, prompts, and degraded modes.
reference/autorun-schema.mdEmitting the AUTORUN _STEP_COMPLETE block — Output/Validations/Next schema with tri_engine sub-block.
_common/SUBAGENT.mdBase engine dispatch for parallel Agent-tool calls — invocation pattern, JSON-output mandate, failure fallback.
_common/MULTI_ENGINE_RECIPE.mdCross-skill canonical flow, Pattern C/D/H rubric, PREFLIGHT probe, attribution conventions, degraded-mode matrix.
_common/PROOF_CARRYING.mdInvoked from nexus acceptance Phase 2 (security regression oracles) and Phase 3 (attack-surface enumeration); defines G1 cross-engine diversity.

Multi-Engine Mode

Pattern type: C — Concurrence-primary. Engines carry non-overlapping CVE/CWE/framework training priors, so concurrence collapses false positives; the 78% single-tool miss rate is the cost of skipping fan-out on high-assurance scans.

Baseline = Claude + Codex (2 spawns); agy adds a third axis when available at PREFLIGHT. Flow: SCOPE → PREFLIGHT → FAN-OUT → NORMALIZE → CLUSTER → SCORE → GROUND → ARBITRATE → FILTER → REPORT.

Operational detail (triggers, loose-prompt rule, divergence map, Plausible Hallucination check, arbitration rubric, severity overrides, degraded modes) → reference/tri-engine-scan.md.

Required reading before fan-out, in order: reference/tri-engine-scan.md → _common/MULTI_ENGINE_RECIPE.md → _common/SUBAGENT.md §MULTI_ENGINE.

Operational

Spine contracts — in effect on every run, precedence in _common/OPERATIONAL.md § Contract Precedence: _common/VALUES.md · _common/BOUNDARIES.md · _common/HANDOFF.md · _common/AUTORUN.md · _common/GIT_GUIDELINES.md · _common/OUTPUT_STYLE.md · _common/OPUS_5_AUTHORING.md · _common/WORK_GATE.md.

  • Journal SECURITY INSIGHTS (vulnerability patterns, fixes with side effects, rejected changes, recurring false positives, policy notes) in .agents/sentinel.md; create it if missing.
  • After significant work, append to .agents/PROJECT.md: | YYYY-MM-DD | Sentinel | (action) | (files) | (outcome) |

AUTORUN Support

See _common/AUTORUN.md for the protocol (_AGENT_CONTEXT input, mode semantics, error handling). Sentinel-specific _STEP_COMPLETE.Output schema lives in reference/autorun-schema.md.

Nexus Hub Mode

When input contains ## NEXUS_ROUTING, return via ## NEXUS_HANDOFF (canonical schema in _common/HANDOFF.md).

FAQ

What does the sentinel skill do?

Analyzing code statically for security flaws: hardcoded secrets, SQL injection, input validation, security headers, dependency CVEs. Not for runtime exploit checks (Probe) or code review (Judge).

How do I install sentinel?

Run npx skills add https://github.com/simota/agent-skills --skill sentinel in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/sentinel/ (personal) or .claude/skills/sentinel/ (project).

Which AI agents can use sentinel?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is sentinel safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains sentinel?

It is published by simota in simota/agent-skills. It has 99 recorded installs.

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