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 EresusSecurity/appsec-skills --skill eresus-sast-scannergit clone --depth 1 https://github.com/EresusSecurity/appsec-skillsWrote 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/eresussecurity/appsec-skills/eresus-sast-scanner)<a href="https://agentmods.dev/skills/eresussecurity/appsec-skills/eresus-sast-scanner"><img src="https://agentmods.dev/badge/skills/eresussecurity/appsec-skills/eresus-sast-scanner/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/eresussecurity/appsec-skills/eresus-sast-scanner"><img src="https://agentmods.dev/badge/skills/eresussecurity/appsec-skills/eresus-sast-scanner.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 | $0.00100 | $0.02883 |
| Opus 5 | $0.00050 | $0.01442 |
| Sonnet 5 | $0.00020 | $0.00577 |
| Haiku 4.5 | $0.00010 | $0.00288 |
Grade A, and why
eresus-sast-scanner 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 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.
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 — 273 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SAST Vulnerability Analysis
Purpose
Systematically analyze source code for security vulnerabilities using structured Source→Sink taint tracking, pattern matching, and vulnerability-class-specific detection heuristics. Produce actionable findings with severity ratings, affected code locations (file + line number), and remediation guidance.
Scope
This skill covers the following 34 vulnerability classes. Each has a dedicated vulnerability knowledge file loaded on demand:
| Category | Vulnerabilities |
|---|---|
| Injection | SQL Injection, XSS, SSTI, NoSQL Injection, GraphQL Injection, XXE, RCE / Command Injection, Expression Language Injection |
| Access Control & Auth | IDOR, Privilege Escalation, Authentication/JWT, Default Credentials, Brute Force, Business Logic, HTTP Method Tampering, Verification Code Abuse, Session Fixation |
| Data Exposure & Crypto | Weak Crypto/Hash, Information Disclosure, Insecure Cookie, Trust Boundary |
| Server-Side | SSRF, Path Traversal/LFI/RFI, Insecure Deserialization, Arbitrary File Upload, JNDI Injection, Race Conditions |
| Protocol & Infrastructure | CSRF, Open Redirect, HTTP Request Smuggling/Desync, Denial of Service, CVE Patterns |
| Language/Platform | PHP Security, Mobile Security (Android/iOS) |
Workflow
Step 1: Understand Scope
Determine:
- Target: single file, directory, API endpoint, module, or full repo
- Language(s) and framework(s) in use
- User's goal: quick scan, deep audit, specific vuln class, or full report
Step 2: Load Relevant Knowledge Files
Based on the code being reviewed, load the appropriate vulnerability knowledge files from references/:
references/sql_injection.md — SQL / ORM injection
references/xss.md — Cross-site scripting
references/ssrf.md — Server-side request forgery
references/rce.md — Remote code execution
references/idor.md — Insecure direct object reference
references/authentication_jwt.md — Auth flaws, JWT weaknesses
references/csrf.md — Cross-site request forgery
references/path_traversal_lfi_rfi.md — Path traversal, LFI/RFI
references/ssti.md — Server-side template injection
references/xxe.md — XML external entity
references/insecure_deserialization.md — Insecure deserialization
references/arbitrary_file_upload.md — Arbitrary file upload
references/privilege_escalation.md — Privilege escalation
references/nosql_injection.md — NoSQL injection
references/graphql_injection.md — GraphQL injection
references/weak_crypto_hash.md — Weak cryptography / hash
references/information_disclosure.md — Information disclosure
references/insecure_cookie.md — Insecure cookie attributes
references/open_redirect.md — Open redirect
references/trust_boundary.md — Trust boundary violations
references/race_conditions.md — Race conditions / TOCTOU
references/brute_force.md — Brute force / credential stuffing
references/default_credentials.md — Default / hardcoded credentials
references/verification_code_abuse.md — Verification code abuse
references/business_logic.md — Business logic flaws
references/http_method_tamper.md — HTTP method tampering
references/smuggling_desync.md — HTTP request smuggling / desync
references/cve_patterns.md — Known CVE patterns
references/expression_language_injection.md — Expression language injection (SpEL / OGNL)
references/jndi_injection.md — JNDI injection (Log4Shell class)
references/denial_of_service.md — Denial of service / resource exhaustion
references/php_security.md — PHP-specific security issues
references/mobile_security.md — Mobile security (Android / iOS)
references/session_fixation.md — Session fixation
What ships with it
34 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/arbitrary_file_upload.md 11 KB
- references/authentication_jwt.md 10 KB
- references/brute_force.md 9.5 KB
- references/business_logic.md 14 KB
- references/csrf.md 13 KB
- references/cve_patterns.md 7.5 KB
- references/default_credentials.md 6.9 KB
- references/denial_of_service.md 9.4 KB
- references/expression_language_injection.md 8.1 KB
- references/graphql_injection.md 7.3 KB
- references/http_method_tamper.md 4.0 KB
- references/idor.md 12 KB
- references/information_disclosure.md 9.3 KB
- references/insecure_cookie.md 3.0 KB
- references/insecure_deserialization.md 13 KB
- references/jndi_injection.md 7.5 KB
- references/mobile_security.md 29 KB
- references/nosql_injection.md 4.0 KB
- references/open_redirect.md 4.6 KB
- references/path_traversal_lfi_rfi.md 19 KB
- references/php_security.md 9.5 KB
- references/privilege_escalation.md 14 KB
- references/race_conditions.md 10 KB
- references/rce.md 25 KB
- references/session_fixation.md 7.2 KB
- references/smuggling_desync.md 4.0 KB
- references/sql_injection.md 18 KB
- references/ssrf.md 8.7 KB
- references/ssti.md 5.3 KB
- references/trust_boundary.md 4.4 KB
- references/verification_code_abuse.md 2.0 KB
- references/weak_crypto_hash.md 6.9 KB
- references/xss.md 14 KB
- references/xxe.md 13 KB
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 · 273 lines · 100 tokens per session scan A d67eba27766a
eresus-sast-scanner is a skill published in the GitHub repository EresusSecurity/appsec-skills (7 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 100 tokens to every session and 2,883 once invoked, about $0.0005 per session on Opus 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 2026-08-31.
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