QuickscanSAFE
Bug bounty agent framework for Claude Code, Codex, Gemini, Cursor, Windsurf, Copilot, and OpenClaw — 48 agents, 26 commands, 19 CLI tools, 2 MCP servers, autonomous hunt loops, exploit chain builder.
Overview
Bug bounty agent framework for Claude Code, Codex, Gemini, Cursor, Windsurf, Copilot, and OpenClaw — 48 agents, 26 commands, 19 CLI tools, 2 MCP servers, autonomous hunt loops, exploit chain builder.
be1723764604OBSERVED · 2026-10-13What 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: quickscan description: "Run a quick security scan on a target. Consults the Brain first, validates scope, runs passive recon + vuln scan in parallel." disable-model-invocation: false --- ALL agents dispatched by this command MUST use `model: "inherit"` in the Agent tool call. Run a quick security assessment on: $ARGUMENTS Workflow: 1. **Brain**: `uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py brief $ARGUMENTS` — check what we already know. Note exhausted areas. 2. **Scope**: `uv run python3 $CLAUDE_PROJECT_DIR/tools/scope_check.py $ARGUMENTS` — if out of scope, STOP. 3. Launch IN PARALLEL (skip areas the brain marks EXHAUSTED): - `recon` agent with passive-only depth, passing brain context about known subdomains/tech - `config-auditor` agent for headers, CSP, CORS, TLS, cookies 4. Record results: for each new finding, run `uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py record <target> <status> <technique> <details>` 5. Log session: `uv run python3 $CLAUDE_PROJECT_DIR/tools/brain.py log "quickscan completed on $ARGUMENTS"` 6. Summarize: separate NEW findings from KNOWN, recommend next steps. ## Top-Tier Quickscan Loop Quickscan should answer "is there obvious money or obvious risk here in 30 minutes?" 1. Spend the first five minutes on scope, policy headers, brain, and live host sanity. 2. Spend the next ten on high-signal passive recon: JS routes, exposed APIs, auth flows, cloud/storage names, source maps, security headers, and known vendor panels. 3. Spend ten on two targeted probes only: the best config/information leak candidate and the best auth/tenant-boundary candidate. 4. Spend five on triage: new, known, killed, or needs full hunt. Never report from quickscan alone unless the proof is already complete. Promote strong leads to `/hunt`, `/validate`, or `/chain`.
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| 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 (1)
Gates applied: no_behavioural_pass, no_license.
be1723764604full audit observations/trust-audit/skill/h-mmer__quickscan.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-13 | be1723764604 | SAFE | B | 89 | first audit |
Questions
What does the Quickscan skill do?
Bug bounty agent framework for Claude Code, Codex, Gemini, Cursor, Windsurf, Copilot, and OpenClaw — 48 agents, 26 commands, 19 CLI tools, 2 MCP servers, autonomous hunt loops, exploit chain builder.
Is Quickscan safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Quickscan 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 (be1723764604), read on 2026-10-13. The repository is watched, and a new audit runs when it changes — this is the first audit.