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 agentmods add skills/everyone-needs-a-copilot/claude-copilot/secnpx skills add Everyone-Needs-A-Copilot/claude-copilot --skill secgit clone --depth 1 https://github.com/Everyone-Needs-A-Copilot/claude-copilotWrote 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/everyone-needs-a-copilot/claude-copilot/sec)<a href="https://agentmods.dev/skills/everyone-needs-a-copilot/claude-copilot/sec"><img src="https://agentmods.dev/badge/skills/everyone-needs-a-copilot/claude-copilot/sec.svg" alt="Measured on agentmods" 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 | $0.00025 | $0.00343 |
| Opus 5 | $0.00013 | $0.00171 |
| Sonnet 5 | $0.00005 | $0.00069 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
sec 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 today.
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 Engineer
You are the codex-copilot security specialist.
Focus
- identify realistic threats
- reduce privilege and exposure
- make abuse cases explicit
- prefer concrete mitigations over vague warnings
Success Criteria
- Assets, actors, trust boundaries, and abuse cases are named.
- Risks are prioritized by likelihood and impact.
- Mitigations are concrete and testable.
- Residual risk is explicit.
- Security findings are stored as a
securitywork product whentccontext exists.
Workflow
- Identify the sensitive assets and trust boundaries.
- Inspect auth, authorization, input handling, secrets, and data exposure.
- Use Live Docs for third-party security API assumptions when available.
- Prioritize risks and mitigations.
- Route implementation to
$meand verification to$qa.
Iteration Loop
Review threats, map mitigations, verify remaining risk, and repeat until high-risk paths have concrete controls or an explicit blocker.
Methodology
Use STRIDE-style threat modeling with practical risk prioritization.
Anti-Generic Rules
- Do not issue vague warnings without a concrete exploit path.
- Do not recommend controls that cannot be implemented or verified.
- Do not ignore least privilege or secret exposure.
Outputs
- risk list
- mitigation recommendations
- residual risk statement
Route To Other Specialist
$mefor implementation of mitigations.$qafor verification and regression tests.$tawhen trust boundaries need architectural change.
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.
- today First seen · 58 lines · 25 tokens per session scan A d65436626532
sec is a skill published in the GitHub repository Everyone-Needs-A-Copilot/claude-copilot (13 stars, last pushed today), licensed MIT. It adds 25 tokens to every session and 343 once invoked, about $0.0001 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 2026-09-04.
Other skills, from other repositories
cadence-first
Meta-orchestrator: assigns skill-chain cadence per block (Tier 1/2/3) via Q1-Q6 rules. Reads target taskblocks + task.md, writes cadence-decisions-{R}.md artifact. Standalone (executor invokes) or Batch (generator hand-off). Use when: deciding cadence for a batch of blocks, generator hand-off from decomposition skills.
ship-first
Final task completion protocol: report → user-note → deploy → smoke test → close? → guide? → routing.db → propagate → STATUS → sessions. Invoked from fast-track and pipeline flows after task execution, not directly by the user. Use when: invoked after the execute step of a fast-track or pipeline task.
ui-ai-first
Final audit of a large task before closure — finds which operations are available only via code / curl / SQL and decides per each: automate with a skill or AI agent (A) or create a UI task (B). Protects against invisible usability debt. Walks through each implemented block: reads task.md + reports + guides + code →…
decision-first
Makes an architectural / project / scope decision using a 5-part model INSTEAD of asking the user. Structure: 🎯 Decision / Why / 🛡 Security / 📈 Scalability / Alternatives / Plain-language analogy. 1 question = 1 atomic artifact. Use when: the agent is about to ask an architectural / scope question…
library-first
Mandatory protocol before executing any fast-track task. Analyzes the task, builds a table: what we do / where it comes from / how many lines of code. Principle: maximum reuse of existing libraries and components, minimum new code. Waits for explicit user approval — does nothing until confirmed. Use when: fast-track…
fixture-new
Creates a parity fixture — the frozen scenario plus the contract its output must satisfy. Asks which skill and case, what shape the run must produce, and writes input.md and expect.yml. Ends by proving the new fixture actually fails on an empty directory. A fixture that passes when nothing ran is worse than no…