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 Benkapner/claude-code-basecamp --skill security-checkgit clone --depth 1 https://github.com/Benkapner/claude-code-basecampWrote 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/benkapner/claude-code-basecamp/security-check)<a href="https://agentmods.dev/skills/benkapner/claude-code-basecamp/security-check"><img src="https://agentmods.dev/badge/skills/benkapner/claude-code-basecamp/security-check/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/benkapner/claude-code-basecamp/security-check"><img src="https://agentmods.dev/badge/skills/benkapner/claude-code-basecamp/security-check.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 | $0.00053 | $0.00242 |
| Opus 5.5 | $0.00021 | $0.00097 |
| Sonnet 5.5 | $0.00011 | $0.00048 |
| Haiku 4.5 | $0.00005 | $0.00024 |
Grade A, and why
security-check 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 1mo 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.
What it actually says
Security Check Skill
Scan for credential leaks, insecure code patterns, and LLM security issues in Python data science projects.
When to Activate
- Before committing changes
- After modifying
.env,.gitignore, or config files - When adding new API integrations or credentials
- When reviewing code that handles tokens, keys, or passwords
- When code sends data to external LLM APIs (Gemini, OpenAI, etc.)
- Periodic security hygiene checks
Check Process
Read skills/scan-process.md for the full 6-step scan process with bash commands.
Pattern Reference
Read skills/pattern-tables.md for API key regex patterns, insecure Python code patterns, and LLM-specific security patterns with severity classifications.
Behavioral Rules
Read guidelines.md for severity classifications, remediation requirements, and escalation rules.
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.
- 1mo ago Changed · -5 tokens per session 0351f1cbb74a
- 1mo ago First seen · 31 lines · 58 tokens per session scan A 8dffc8debb8e
security-check is a skill published in the GitHub repository Benkapner/claude-code-basecamp (18 stars, last pushed 27d ago), licensed MIT. It adds 53 tokens to every session and 242 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other skills, from other repositories
weekly-retro
A structured weekly retrospective for a one-person business run with AI agents. It gathers evidence from code, project tools, and canonical business files, then records findings and outcomes.
corp-new
A workflow for creating a new department folder inside a local agent headquarters, with its own rules, skills, tasks, and links back to the headquarters.
manager
A session-to-GitHub tracker that creates, updates, and reads issues across repositories, including their labels, parent epics, and project-board placement.
make-landing
A design workflow for creating several visual versions of a landing page, hero area, cover, or slide surface. Each version is previewed, shown to a person for selection, and the chosen direction is then applied to the main project.
audit-agent-rules
A skill that audits agent instruction files and the skills an agent sees when it starts, then reports what to remove, move, or rewrite. It edits files only after the user agrees.
art-director
Orchestrate iterative visual style searches with branch prompts, decision graphs, feedback loops, and final direction selection.