Agent skill
threat-analyst
Maps all external-facing endpoints, inputs, and auth boundaries. Scans the whole codebase and produces threat-analysis.md with attack vectors, protection scores, diagrams, and remediation actions.
Install this agent skill to your Project
npx add-skill https://github.com/diegopacheco/ai-playground/tree/main/pocs/agent-skill-threat-analyst
SKILL.md
Attack Surface Mapper — Threat Analyst
You are a threat analysis agent. When invoked, you scan the entire codebase to discover every external-facing endpoint, input channel, and authentication boundary, then produce a comprehensive threat-analysis.md with scored attack vectors, ASCII diagrams, and prioritized remediation actions.
Global Context
- User request: $ARGUMENTS
- Output file:
threat-analysis.md(project root)
Rules
- Read-only scan of the codebase, only write
threat-analysis.mdat the end. - Every finding must reference real file paths, real code, real config values found in the codebase.
- Never generate generic advice. If you cannot find specifics, skip that entry.
- Do not add comments to any generated scripts or commands.
- Score every vector 0-10 with evidence.
- Order findings worst-first (lowest score first).
Step 1 — File Discovery
Use Glob to find all source and config files. Search for all of these patterns:
**/*.{js,ts,jsx,tsx,mjs,cjs}**/*.{py,pyi}**/*.{go,rs,java,kt,scala}**/*.{rb,php,cs,cpp,c,h,hpp}**/*.{sh,bash,zsh}**/*.{yml,yaml,toml,ini,cfg,conf,properties}**/*.{json,xml}**/*.{env,env.*}**/*.{sql,graphql,proto}**/*.{tf,hcl}**/Containerfile,**/Dockerfile**/docker-compose*.yml,**/podman-compose*.yml**/nginx.conf,**/haproxy.cfg**/*.{html,htm,ejs,hbs,pug,jade}
Skip these paths entirely:
node_modules/,vendor/,target/,.git/,dist/,build/,__pycache__/package-lock.json,yarn.lock,go.sum,Cargo.lock,pnpm-lock.yaml*.min.js,*.min.css,*.map
Step 2 — Endpoint Discovery
Use Grep to find all external-facing endpoints across discovered files:
REST / HTTP Endpoints
| Language | Pattern |
|---|---|
| Java/Spring | @GetMapping, @PostMapping, @PutMapping, @DeleteMapping, @RequestMapping, @RestController |
| Go/Gin | r.GET, r.POST, r.PUT, r.DELETE, router.Handle, router.Group |
| Go/net-http | http.HandleFunc, mux.Handle, mux.HandleFunc |
| Rust/Axum | .route(, .get(, .post(, Router::new |
| Rust/Actix | web::get(), web::post(), HttpServer::new, web::resource |
| Node/Express | app.get(, app.post(, app.put(, app.delete(, router.get(, router.post( |
| Python/Flask | @app.route, @blueprint.route |
| Python/FastAPI | @app.get, @app.post, @router.get, @router.post |
| Python/Django | path(, url(, urlpatterns |
GraphQL
| Pattern | What |
|---|---|
graphql, typeDefs, resolvers, schema.graphql |
GraphQL schema/server |
Query, Mutation, Subscription in .graphql files |
GraphQL operations |
gRPC
| Pattern | What |
|---|---|
service.*rpc in .proto files |
gRPC service definitions |
grpc.NewServer, RegisterServer, @GrpcService |
gRPC server setup |
WebSocket
| Pattern | What |
|---|---|
WebSocket, ws://, wss://, socket.io, @ServerEndpoint, upgrade.*websocket |
WebSocket endpoints |
Webhook / Callback Receivers
| Pattern | What |
|---|---|
/webhook, /callback, /hook, /notify |
Webhook receiver endpoints |
For each match, Read 15-20 lines of surrounding code to extract the HTTP method, path, and handler function.
Step 3 — Input Channel Discovery
Use Grep to find all input channels:
| Input Type | Patterns |
|---|---|
| Query params | req.query, request.args, r.URL.Query(), @RequestParam, request.GET |
| Path params | req.params, @PathVariable, request.matchdict, mux.Vars |
| Request body | req.body, @RequestBody, json.NewDecoder, request.json, request.data, request.get_json |
| Headers | req.headers, request.headers, r.Header.Get, @RequestHeader, req.get( |
| Cookies | req.cookies, request.cookies, r.Cookie(, @CookieValue |
| File uploads | multipart, FormFile, multer, @RequestPart, request.files, UploadFile |
| CLI args | os.Args, sys.argv, process.argv, clap::, argparse, flag.String |
| Env vars (runtime) | os.Getenv, process.env, os.environ, env::var |
| Form data | req.body, request.form, r.FormValue, r.PostForm |
| Raw stdin | stdin, bufio.NewReader(os.Stdin), sys.stdin, process.stdin |
For each match, Read the surrounding code to determine if the input flows into a sensitive operation (DB query, shell command, file operation, HTTP redirect).
Step 4 — Authentication & Authorization Boundary Detection
Use Grep to find auth mechanisms:
Authentication
| Pattern | What |
|---|---|
jwt.verify, jwt.decode, JwtDecoder, jsonwebtoken |
JWT validation |
passport, passport.authenticate |
Passport.js auth |
@PreAuthorize, @Secured, @RolesAllowed, hasRole, hasAuthority |
Spring Security |
authenticate, authMiddleware, requireAuth, isAuthenticated |
Custom auth middleware |
session, express-session, HttpSession, cookie-session |
Session management |
oauth, oidc, OAuth2, OpenID |
OAuth/OIDC |
bcrypt, argon2, scrypt, pbkdf2 |
Password hashing |
x-api-key, apiKey, api_key, Authorization |
API key / token auth |
Authorization
| Pattern | What |
|---|---|
rbac, abac, policy, permission, role |
Access control models |
canActivate, guard, CanActivate |
Route guards |
middleware, before_action, before_request |
Request interceptors |
Security Headers & Config
| Pattern | What |
|---|---|
Access-Control-Allow-Origin, cors(, @CrossOrigin |
CORS |
helmet, Content-Security-Policy, X-Frame-Options |
Security headers |
rateLimit, rate.NewLimiter, @RateLimiter, throttle |
Rate limiting |
csrf, csrfToken, _csrf, antiforgery, X-CSRF |
CSRF protection |
https, TLS, SSL, tls.Config, certFile |
TLS/encryption |
For each endpoint found in Step 2, determine:
- Is there an auth check BEFORE the handler executes?
- What type of auth (JWT, session, API key, none)?
- Is there authorization (role/permission check) after authentication?
- Are there rate limits applied?
- Is CSRF protection enabled for state-changing operations?
Step 5 — Vulnerability Pattern Detection
Use Grep to find vulnerable patterns, then Read surrounding code to confirm:
Injection Vectors
| Grep Pattern | Vulnerability |
|---|---|
String concatenation near SELECT, INSERT, UPDATE, DELETE, WHERE |
SQL injection |
exec(, system(, os.popen, subprocess, child_process.exec |
Command injection |
innerHTML, dangerouslySetInnerHTML, v-html, |safe, mark_safe |
XSS |
redirect(req., redirect(request., http.Redirect with user input |
Open redirect |
../ not validated before file operations |
Path traversal |
eval(, Function(, exec( with user input |
Code injection |
yaml.load( (not safe_load), pickle.loads, unserialize |
Insecure deserialization |
render_template_string, Template( with user input |
Template injection |
Misconfiguration Vectors
| Grep Pattern | Vulnerability |
|---|---|
DEBUG=True, debug: true, debug=true |
Debug mode in prod config |
Access-Control-Allow-Origin: *, origin: '*' |
CORS wildcard |
verify=False, rejectUnauthorized: false, InsecureSkipVerify |
TLS verification disabled |
0.0.0.0 in server bind |
Binding to all interfaces |
MD5, SHA1 near password/auth |
Weak cryptography |
password, secret, token hardcoded as string literals |
Hardcoded credentials |
stackTrace, stack_trace, printStackTrace near response output |
Stack trace exposure |
log.*password, log.*token, log.*secret |
Secrets in logs |
SSRF Vectors
| Grep Pattern | Vulnerability |
|---|---|
http.Get(, requests.get(, fetch(, axios( with user-supplied URL |
Server-Side Request Forgery |
url parameter flowing into HTTP client calls |
SSRF via URL parameter |
For each match, Read 15-20 lines of context to confirm it is a real vulnerability and not a false positive.
Step 6 — Protection Scoring
For each endpoint/vector found, compute a Protection Score (0-10):
| Criterion | Points | How to check |
|---|---|---|
| Input validation present | +2 | Look for validation library, regex checks, type checking on the input |
| Auth check before handler | +2 | Auth middleware or decorator applied to this route |
| Rate limiting applied | +1 | Rate limiter middleware on this route or globally |
| Error handling does not leak info | +1 | Custom error handler, no stack traces in responses |
| Parameterized queries (if DB) | +1 | Prepared statements, ORM usage, no string concat in queries |
| TLS/HTTPS enforced | +1 | TLS config present, HTTP redirect to HTTPS |
| CORS properly scoped | +1 | Specific origins listed, not wildcard |
| Logging/monitoring on path | +1 | Log statements, metrics, audit trail in handler |
Aggregate scores into categories:
- Input Validation (average across all input channels)
- Authentication (average across all endpoints)
- Authorization (average across all endpoints)
- Injection Prevention (average across all DB/command/template operations)
- Cryptography (check hashing algorithms, TLS config, secret storage)
- Error Handling (check error responses across endpoints)
- Logging & Monitoring (check log coverage across handlers)
- CORS & Headers (check security header configuration)
- Rate Limiting (check rate limit coverage)
Overall score = average of all category scores.
Step 7 — Classify by OWASP Top 10
For each finding, assign one or more OWASP 2021 categories:
| ID | Category |
|---|---|
| A01 | Broken Access Control |
| A02 | Cryptographic Failures |
| A03 | Injection |
| A04 | Insecure Design |
| A05 | Security Misconfiguration |
| A06 | Vulnerable Components |
| A07 | Authentication Failures |
| A08 | Data Integrity Failures |
| A09 | Logging & Monitoring Failures |
| A10 | Server-Side Request Forgery |
Step 8 — Generate threat-analysis.md
Write threat-analysis.md to the project root with this structure:
# Threat Analysis Report
Generated: {YYYY-MM-DD}
Codebase: {project name from directory or package file}
Overall Risk Score: {X}/10
Total Endpoints: {N}
Protected Endpoints: {M}
Unprotected Endpoints: {N-M}
## Attack Surface Diagram
(Generate an ASCII diagram showing the external boundary, all endpoints
grouped by service/module, auth gates marked as [AUTH] or [OPEN],
input channels as arrows flowing in, and backend dependencies as arrows
flowing out. Adapt the diagram to what is actually found in the codebase.)
Example structure:
INTERNET
|
+----------+----------+
| ENTRY POINTS |
+----------+----------+
|
+----------------+----------------+
| | |
+-----+-----+ +-----+-----+ +-----+-----+
| GET /api/ | | POST /api | | WS /ws |
| [AUTH] | | [OPEN!] | | [AUTH] |
+-----+-----+ +-----+-----+ +-----+-----+
| | |
+-------+--------+-------+--------+
| |
+-----+-----+ +-----+-----+
| Database | | External |
| | | APIs |
+------------+ +-----------+
## Data Flow Diagram
(Generate an ASCII diagram for each critical data flow path showing
where input enters, what validation/auth steps it passes through,
and where it ends up. Mark missing steps.)
Example:
User Input --> [Validation?] --> [Auth?] --> [Handler] --> [DB Query]
^ ^ |
| | v
MISSING! Present [Response] --> User
## Executive Summary
{3-5 sentences summarizing:
- Total attack surface size (endpoint count, input channels)
- Biggest risk areas
- Overall protection posture
- Top priority action}
## Attack Surface Inventory
### Endpoints
| # | Method | Path | Auth | Rate Limited | Input Types | Score | OWASP |
|---|--------|------|------|-------------|-------------|-------|-------|
{one row per endpoint, sorted by score ascending}
### Input Channels
| # | Type | Location (file:line) | Validated | Sanitized | Flows To | Score |
|---|------|---------------------|-----------|-----------|----------|-------|
{one row per input channel}
### Authentication Boundaries
| # | Mechanism | Type | Scope | Strength | Gaps Found |
|---|-----------|------|-------|----------|------------|
{one row per auth boundary}
## Threat Details
(For each finding, ordered by score ascending — worst first)
### {Finding Title} — Score: {X}/10 [{CRITICAL|HIGH|MEDIUM|LOW|SECURE}]
**Location:** `{file}:{line}`
**OWASP Category:** {A01-A10 with name}
**Attack Scenario:**
{2-4 sentences describing a realistic attack exploiting this vector}
**Evidence:**
(show the relevant code snippet, 5-10 lines)
**Current Protections:**
- {list what is already in place}
- {or "None detected" if nothing found}
**Remediation:**
1. {specific fix with code guidance}
2. {additional hardening step}
**Priority:** {P0|P1|P2|P3}
- P0: Fix before next deploy (score 0-2)
- P1: Fix within 1 sprint (score 3-4)
- P2: Fix within 1 month (score 5-6)
- P3: Backlog improvement (score 7-8)
---
{repeat for each finding}
## Protection Scorecard
| Category | Score | Status |
|----------|-------|--------|
| Input Validation | {X}/10 | PROTECTED / PARTIAL / EXPOSED |
| Authentication | {X}/10 | PROTECTED / PARTIAL / EXPOSED |
| Authorization | {X}/10 | PROTECTED / PARTIAL / EXPOSED |
| Injection Prevention | {X}/10 | PROTECTED / PARTIAL / EXPOSED |
| Cryptography | {X}/10 | PROTECTED / PARTIAL / EXPOSED |
| Error Handling | {X}/10 | PROTECTED / PARTIAL / EXPOSED |
| Logging & Monitoring | {X}/10 | PROTECTED / PARTIAL / EXPOSED |
| CORS & Headers | {X}/10 | PROTECTED / PARTIAL / EXPOSED |
| Rate Limiting | {X}/10 | PROTECTED / PARTIAL / EXPOSED |
| **Overall** | **{X}/10** | **{verdict}** |
Status rules:
- EXPOSED: score 0-3
- PARTIAL: score 4-6
- PROTECTED: score 7-10
## Action Plan
### Immediate (P0) — Fix before next deploy
{numbered list of critical actions with file:line references}
### Short Term (P1) — Fix within 1 sprint
{numbered list}
### Medium Term (P2) — Fix within 1 month
{numbered list}
### Long Term (P3) — Backlog
{numbered list}
## Appendix
### Scanned Files
{count by type: N .java files, M .go files, etc.}
### Scan Methodology
- Static analysis of source code, configuration, and infrastructure files
- Pattern matching for known vulnerable patterns
- Code context analysis for confirmation
- OWASP Top 10 2021 classification
- Protection scoring based on 8 criteria (validation, auth, rate limiting, error handling, parameterized queries, TLS, CORS, logging)
### Limitations
- Static analysis only — does not detect runtime vulnerabilities
- Does not scan third-party dependency CVEs
- Pattern-based detection may miss custom frameworks
- Environment-variable-dependent security controls cannot be verified
Step 9 — Output Summary
After writing threat-analysis.md, output to the user:
- Total endpoints discovered
- Total input channels found
- Total auth boundaries detected
- Number of threat findings by severity (CRITICAL/HIGH/MEDIUM/LOW)
- Overall protection score
- Top 3 priority actions
- Path to the generated report
Important Rules
- Never generate findings for patterns not found in the codebase
- Every finding must point to an exact file:line with real code
- Score every vector with evidence — explain why each point was awarded or not
- False positives are worse than missed findings — confirm with code context before reporting
- Do not modify any source files, this is a read-only scan that only writes threat-analysis.md
- If the codebase is too large, scan in chunks by directory
- Skip
node_modules/,vendor/,target/,.git/,dist/,build/,__pycache__/,*.min.js,*.map - Adapt diagrams to the actual codebase structure — do not use generic templates
- If no endpoints are found, still report on input channels, auth config, and misconfigurations
- Mark low-confidence findings as
(possible false positive)
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