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/securitytalent/bugskill-ai/bac-analyzernpx skills add SecurityTalent/bugskill-ai --skill bac-analyzergit clone --depth 1 https://github.com/SecurityTalent/bugskill-aiWrote 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/securitytalent/bugskill-ai/bac-analyzer)<a href="https://agentmods.dev/skills/securitytalent/bugskill-ai/bac-analyzer"><img src="https://agentmods.dev/badge/skills/securitytalent/bugskill-ai/bac-analyzer.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 | $0.00075 | $0.01600 |
| Opus 5 | $0.00037 | $0.00800 |
| Sonnet 5 | $0.00015 | $0.00320 |
| Haiku 4.5 | $0.00007 | $0.00160 |
Grade A, and why
bac-analyzer scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Copy-paste curl commands How it starts
The opening of the file, as written. The whole thing — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BAC Analyzer - Passive Traffic Analysis for IDOR/BAC Vulnerabilities
Triggers
- "analyze traffic"
- "check for IDOR"
- "BAC analysis"
- "analyze HAR"
- "analyze Caido"
- "broken access control"
- "IDOR scan"
Description
Passive traffic analyzer that examines captured HTTP traffic (HAR, Caido JSON, Burp XML) to identify potential Broken Access Control (BAC) and Insecure Direct Object Reference (IDOR) vulnerabilities. Generates test cases and reports.
Input Formats
- HAR - HTTP Archive format (browser DevTools, Caido export)
- Caido JSON - Native Caido export format
- Burp XML - Burp Suite proxy history export
- Caido API - Direct pull from running Caido instance
Installation
# No external dependencies required - uses Python stdlib
chmod +x ~/.openclaw/workspace/skills/bac-analyzer/scripts/*.sh
chmod +x ~/.openclaw/workspace/skills/bac-analyzer/scripts/*.py
# Optional: Add to PATH
export PATH="$PATH:~/.openclaw/workspace/skills/bac-analyzer/scripts"
Usage
Basic Analysis
# Analyze HAR file
./analyze.sh traffic.har
# Analyze Caido export
./analyze.sh caido-export.json
# Analyze Burp XML
./analyze.sh burp-history.xml
Options
# Generate HTML report
./analyze.sh traffic.har -o report.html
# Tests only (no full report)
./analyze.sh traffic.har --tests-only
# JSON output
./analyze.sh traffic.har --json -o results.json
# Pull from Caido API (requires CAIDO_URL env var)
./analyze.sh --caido
# Verbose output
./analyze.sh traffic.har -v
Direct Script Usage
# Parse specific format
python3 parse-har.py input.har -o parsed.json
# Detect IDs in parsed traffic
python3 detect-ids.py parsed.json -o ids.json
# Extract auth contexts
python3 extract-auth.py parsed.json -o auth.json
# Generate test cases
python3 generate-tests.py ids.json auth.json -o tests.json
# Generate HTML report
python3 report.py results.json -o report.html
What It Detects
ID Patterns
- Integer IDs:
/users/123,?user_id=456 - UUIDs:
/docs/550e8400-e29b-41d4-a716-446655440000 - MongoDB ObjectIds:
/items/507f1f77bcf86cd799439011 - Base64 Encoded:
/api/dXNlcl8xMjM=(decodes touser_123) - Short Hashes:
/files/a1b2c3d4 - Composite IDs:
/org/123/user/456
What ships with it
12 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.
- payloads/403-bypass.txt 1.5 KB
- payloads/actuators.txt 1.6 KB
- payloads/headers.txt 1.7 KB
- scripts/analyze.sh 8.2 KB runs code
- scripts/detect-ids.py 12 KB runs code
- scripts/extract-auth.py 10 KB runs code
- scripts/generate-tests.py 15 KB runs code
- scripts/parse-burp.py 7.3 KB runs code
- scripts/parse-caido.py 8.8 KB runs code
- scripts/parse-har.py 4.8 KB runs code
- scripts/report.py 13 KB runs code
- templates/report.html 11 KB
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.
- 4d ago First seen · 232 lines · 75 tokens per session scan A 2ea00c1fc8fe
bac-analyzer is a skill published in the GitHub repository SecurityTalent/bugskill-ai (5 stars, last pushed 18d ago), licensed MIT. It adds 75 tokens to every session and 1,600 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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