Claude With Skills is a progressive course that teaches developers to create reusable, portable Agent Skills for Claude Code, from basic SKILL.md files to advanced automation and plugin packaging. It is intended for developers who want repeatable instructions and workflows instead of repeatedly pasting the same guidance. The catalogue contains the course's skills, agents, and instruction.
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 davila7/claude-with-skills --skill security-scangit clone --depth 1 https://github.com/davila7/claude-with-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/davila7/claude-with-skills/security-scan)<a href="https://agentmods.dev/skills/davila7/claude-with-skills/security-scan"><img src="https://agentmods.dev/badge/skills/davila7/claude-with-skills/security-scan/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/davila7/claude-with-skills/security-scan"><img src="https://agentmods.dev/badge/skills/davila7/claude-with-skills/security-scan.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 | $0.00052 | $0.00787 |
| Opus 5 | $0.00026 | $0.00394 |
| Sonnet 5 | $0.00010 | $0.00157 |
| Haiku 4.5 | $0.00005 | $0.00079 |
Grade A, and why
security-scan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Run a security scan on this codebase.
Changed files (focus here first)
!git diff --name-only HEAD~1 2>/dev/null || git diff --name-only origin/main...HEAD 2>/dev/null || echo "all files — no git diff available"
Prioritize scanning the files listed above. If the output says "all files", scan the entire codebase.
Security checks
For each check, search the changed files first. If changed files is "all files", search the entire codebase excluding node_modules/, dist/, .git/, vendor/, and *.min.js.
1. Hardcoded secrets
Search for patterns like password=, api_key=, secret=, token=, passwd=, private_key= followed by a literal value (not a variable reference or environment variable lookup).
Exclude:
- Files in
test/,spec/,__tests__/directories - Files ending in
.example,.sample,.template - Lines that contain
process.env,os.environ,getenv,${,$(, orconfig.get
2. SQL injection risk
Search for SQL keywords (SELECT, INSERT, UPDATE, DELETE, WHERE, FROM) appearing inside f-strings (Python), template literals (JavaScript/TypeScript), or string concatenation patterns where a variable is embedded directly. Look for patterns like:
f"SELECT ... {variable}`SELECT ... ${variable}`"SELECT " + variable
3. XSS vectors
Search .js and .ts files for innerHTML being assigned a value that includes a variable: element.innerHTML = , .innerHTML +=. Flag any assignment that does not call a sanitization function (DOMPurify.sanitize, sanitize(, escapeHtml().
4. Unvalidated inputs
Search for patterns where request body or parameters are passed directly to a database function without an intervening validation step. Look for req.body., request.data, request.form, params[ in close proximity (within 5 lines) to database calls (query(, execute(, find(, .save(, .create().
5. Insecure defaults
Search for:
DEBUG = TrueorDEBUG=True(Python)NODE_ENVnot set toproductionin deployment configuration filesverify=Falsein Python requests calls- CORS configured to allow all origins:
cors({ origin: '*' }),Access-Control-Allow-Origin: *in non-development config files
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 · 72 lines · 52 tokens per session scan A e1b5c5a8650b
security-scan is a skill published in the GitHub repository davila7/claude-with-skills (11 stars, last pushed 3mo ago), licensed MIT. It adds 52 tokens to every session and 787 once invoked, about $0.0003 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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Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or…