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 scholarly360/owasp-top10-web-skills --skill security-misconfigurationgit clone --depth 1 https://github.com/scholarly360/owasp-top10-web-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/scholarly360/owasp-top10-web-skills/security-misconfiguration)<a href="https://agentmods.dev/skills/scholarly360/owasp-top10-web-skills/security-misconfiguration"><img src="https://agentmods.dev/badge/skills/scholarly360/owasp-top10-web-skills/security-misconfiguration/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/scholarly360/owasp-top10-web-skills/security-misconfiguration"><img src="https://agentmods.dev/badge/skills/scholarly360/owasp-top10-web-skills/security-misconfiguration.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 | $0.00155 | $0.02664 |
| Opus 5 | $0.00077 | $0.01332 |
| Sonnet 5 | $0.00031 | $0.00533 |
| Haiku 4.5 | $0.00015 | $0.00266 |
Grade A, and why
security-misconfiguration 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 11d 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 — 335 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Misconfiguration (OWASP A02:2025)
Security Misconfiguration leapt from #5 to #2 in the OWASP Top 10:2025, found in 3.00% of applications with over 719,000 occurrences. It occurs when systems are incorrectly configured from a security perspective — and in Python web apps, the attack surface is wide.
Workflow
- Identify the framework — Flask, FastAPI, or both
- Run static checks — Bandit SAST scan (see Tooling section)
- Walk the checklist — go through each category below, flag issues
- Generate a report — list findings with CWE IDs, severity, and remediation snippets
- Verify fixes — re-run Bandit + dynamic header scan after remediation
For deep dives into any single category, read:
references/flask-hardening.md— Flask-specific settings and extensionsreferences/fastapi-hardening.md— FastAPI-specific settings and middlewarereferences/security-headers.md— Full header reference with CSP examples
Checklist by Category
1. Debug Mode Exposed (Critical)
Flask
# BAD — never in production
app.run(debug=True)
app = Flask(__name__, debug=True)
# BAD — environment variable
# FLASK_DEBUG=1
# GOOD
app.run(debug=False)
# or: rely on FLASK_ENV=production (Flask 2.x) / FLASK_DEBUG=0
- Werkzeug's interactive debugger allows arbitrary code execution via PIN bypass
- Bandit rule:
B201(flask_debug_true)
FastAPI — has no debug mode equivalent but /docs and /redoc exposure is analogous (see §3)
2. Hardcoded Secrets (Critical)
Detect patterns:
# BAD
SECRET_KEY = "supersecretkey123"
DATABASE_URL = "postgresql://user:password@host/db"
JWT_SECRET = "my-jwt-secret"
AWS_SECRET_ACCESS_KEY = "wJalrXUtnFEMI/K7MDENG/bPxRfiCYEXAMPLEKEY"
Correct approach:
import os
SECRET_KEY = os.environ["SECRET_KEY"] # raises if missing — intentional
DATABASE_URL = os.environ.get("DATABASE_URL") # or use python-dotenv / pydantic-settings
- Bandit rule:
B105,B106,B107(hardcoded_password_*) - Also flag: secrets committed to
.envfiles checked into version control - Key CWEs: CWE-526 (Sensitive Info in Env Vars), CWE-321 (Hard-coded Crypto Key)
What ships with it
3 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.
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.
- 11d ago First seen · 335 lines · 155 tokens per session scan A 431a7bb93a6f
security-misconfiguration is a skill published in the GitHub repository scholarly360/owasp-top10-web-skills (22 stars, last pushed 5mo ago), licensed MIT. It adds 155 tokens to every session and 2,664 once invoked, about $0.0008 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 2026-08-30.
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