Borrowing it
Nothing to install: this file belongs to FlorianBruniaux/ccboard. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/FlorianBruniaux/ccboard/main/.claude/skills/cybersec/SKILL.mdgit clone --depth 1 https://github.com/FlorianBruniaux/ccboardWrote 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/florianbruniaux/ccboard/cybersec)<a href="https://agentmods.dev/skills/florianbruniaux/ccboard/cybersec"><img src="https://agentmods.dev/badge/skills/florianbruniaux/ccboard/cybersec/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/florianbruniaux/ccboard/cybersec"><img src="https://agentmods.dev/badge/skills/florianbruniaux/ccboard/cybersec.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00048 | $0.00293 |
| Opus 5 | $0.00024 | $0.00147 |
| Sonnet 5 | $0.00010 | $0.00059 |
| Haiku 4.5 | $0.00005 | $0.00029 |
Grade A, and why
cybersec 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 9d 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
Cybersec Skills — ccboard
Security audit toolkit for the ccboard Rust/Leptos stack.
Reference files in this directory
These files are reference documentation for security test patterns. Update them to reflect ccboard's actual Axum routes, auth flows, and data model.
Key security areas for ccboard
- Authentication: session tokens, CSRF protection in Leptos forms
- Authorization: route-level guards in Axum middleware
- WASM: client-side code exposure, sensitive data in WASM binary
- SQL: raw query usage, input sanitization
- Dependency audit:
cargo auditfor known CVEs in dependencies
Usage
cargo audit # CVE scan
grep -r "unsafe" src/ # unsafe block audit
grep -r "unwrap()" src/ | wc -l # panic surface audit
What ships with it
6 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.
- 9d ago First seen · 37 lines · 48 tokens per session scan A 3a33b82712c9
cybersec is a skill published in the GitHub repository FlorianBruniaux/ccboard (97 stars, last pushed 7d ago), licensed MIT. It adds 48 tokens to every session and 293 once invoked, about $0.0002 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.
Other skills, from other repositories
memory-graveyard
Audit which entries in your project's MEMORY.md Claude actually reads. Use when the user wants to find dead memory entries, broken pointers in MEMORY.md, orphan memory files, or surface entries that fall below the system-prompt truncation cutoff. Triggers on "audit MEMORY.md", "dead memory entries", "broken memory…
ai-persistence/server
Server chat state with withPersistence from @tanstack/ai-persistence. Authoritative transcript, run lifecycle, durable interrupts/approvals, chatParamsFromRequest, reconstructChat, snapshotStreaming. Use when the server owns history, multi-device, or durable tool approvals. NOT client localStorage (see…
memory
Persistent, token-efficient project memory. When ON, maintains a .shob/memory/ folder of structured .md files so the full context of the project is NEVER lost across responses, sessions, or context compaction. Uses progressive disclosure — routes through a lightweight INDEX and loads only the files a task needs…
llm-provider
Adds a new LLM provider implementing LLMProvider interface with call() and stream() methods. Integrates with provider factory in src/llm/index.ts, config detection in src/llm/config.ts, and error handling via tracking and recovery. Use when adding a new model backend, integrating a third-party LLM API, or extending…
learn
Diagnose and fix agent behavioral surfaces when the user corrects a mistake — connects to Claude native memory.
jentic
Use this skill whenever the user wants to work with a third-party or external API/tool through the Jentic platform — e.g. asks to "find the vessel-tracking API and add it", "get rows from this Google Sheet", connect Slack, import/search/discover an API, integrate or automate a SaaS, pull data from a service, or call…