Cyber Defense TeamCAUTION
The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates. 430K+ lines.
Overview
The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates. 430K+ lines.
d90170da4369OBSERVED · 2026-10-07What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
---
name: cyber-defense-team
description: "Orchestrate a 4-agent cyber defense pipeline to analyze log files for threats. Use when investigating security logs, detecting anomalies in access patterns, classifying breach severity, or generating incident reports from nginx/auth/syslog files."
allowed-tools: Read Bash
argument-hint: "[log-file-path]"
effort: high
metadata:
version: 1.0.0
---
# Cyber defense team skill
Orchestrate a 4-agent pipeline that analyzes log files for security threats and produces an incident report.
## Pipeline architecture
```
[You] -> Team Lead (this skill)
|
|-[1]-> log-ingestor (haiku) -> cyber-defense-events.json
|
|-[2]-> anomaly-detector (sonnet) -> cyber-defense-anomalies.json
| (reads events.json)
|-[3]-> risk-classifier (sonnet) -> cyber-defense-risk.json
| (reads anomalies.json)
`-[4]-> threat-reporter (sonnet) -> cyber-defense-report.md
(reads all 3 JSON files)
```
Stages 2 and 3 are sequential (each depends on previous output). Stage 4 runs after all data is ready.
## Execution steps
### Step 1: Validate input
Check that the log file exists (or that log content was provided inline). If the path doesn't exist, tell the user immediately and don't proceed.
### Step 2: Spawn log ingestor
Use the Agent tool to spawn the `log-ingestor` agent:
```
Task: Parse the log file at [log_path] and write structured events to cyber-defense-events.json.
Log path: [log_path]
```
Wait for completion. Confirm `cyber-defense-events.json` was created.
### Step 3: Spawn anomaly detector
Use the Agent tool to spawn the `anomaly-detector` agent:
```
Task: Read cyber-defense-events.json and detect anomalies. Write results to cyber-defense-anomalies.json.
```
Wait for completion. If `anomalies_found: 0`, skip to Step 5 (reporter still runs).
### Step 4: Spawn risk classifier
Use the Agent tool to spawn the `risk-classifier` agent:
```
Task: Read cyber-defense-anomalies.json and classify overall risk. Write result to cyber-defense-risk.json.
```
### Step 5: Spawn threat reporter
Use the Agent tool to spawn the `threat-reporter` agent:
```
Task: Read cyber-defense-events.json, cyber-defense-anomalies.json, and cyber-defense-risk.json. Generate a complete incident report and save it to cyber-defense-report.md.
```
### Step 6: Summarize for user
Read `cyber-defense-risk.json` and present:
```
Analysis complete
Risk Level : HIGH
Score : 74/100
Threats : 2 anomalies detected
Report : cyber-defense-report.md
Primary threat: Brute force attack from 192.168.1.105
Immediate action required: [first recommended_action]
```
## Error handling
- Agent fails at step 2: Tell user, stop pipeline, show raw error.
- Agent fails at step 3+: Show partial results, note which stage failed.
- Log file not found: "File [path] not found. Provide a valid path or paste log content."
## Cost estimate
| Stage | Model | Typical tokens |
|-------|-------|----------------|
| log-ingestor | haiku | ~2K |
| anomaly-detector | sonnet | ~3K |
| risk-classifier | sonnet | ~2K |
| threat-reporter | sonnet | ~3K |
| **Total** | | **~10K** |
For large log files (>10K lines), log-ingestor may use up to 20K tokens.
## Example usage
```
/cyber-defense-team /var/log/nginx/access.log
/cyber-defense-team /tmp/auth.log
```Trust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (2)
whitepapers/recap-cards/en/_extensions
whitepapers/recap-cards/fr/_extensions
Gates applied: no_behavioural_pass.
d90170da4369full audit observations/trust-audit/skill/florianbruniaux__cyber-defense-team.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-07 | d90170da4369 | CAUTION | B | 89 | first audit |
Questions
What does the Cyber Defense Team skill do?
The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates. 430K+ lines.
Is Cyber Defense Team safe to install?
With care. The audit graded it B (89/100) and found 2 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can Cyber Defense Team access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (d90170da4369), read on 2026-10-07. The repository is watched, and a new audit runs when it changes — this is the first audit.