Agent Skillselementalsouls/Claude-OSINT › osint-autopilot

osint-autopilot

GitHub

自动化执行OSINT侦察全流程,涵盖从种子发现到暴露面收敛的五阶段分析。通过脚本与多智能体协作收集证据、验证信息并生成包含发现的Excel报告,仅在涉及主动利用或越界时暂停。

skills/osint-autopilot/SKILL.md elementalsouls/Claude-OSINT

Trigger Scenarios

用户要求对目标域名运行OSINT或攻击面侦察 需要自动执行完整的渗透测试前期情报收集流程

Install

npx skills add elementalsouls/Claude-OSINT --skill osint-autopilot -g -y
More Options

Use without installing

npx skills use elementalsouls/Claude-OSINT@osint-autopilot

指定 Agent (Claude Code)

npx skills add elementalsouls/Claude-OSINT --skill osint-autopilot -a claude-code -g -y

安装 repo 全部 skill

npx skills add elementalsouls/Claude-OSINT --all -g -y

预览 repo 内 skill

npx skills add elementalsouls/Claude-OSINT --list

SKILL.md

Frontmatter
{
    "name": "osint-autopilot",
    "version": 1,
    "triggers": [
        "run OSINT",
        "run recon",
        "run the full recon pipeline",
        "attack surface on",
        "OSINT autopilot",
        "full external recon",
        "end to end recon",
        "recon to completion",
        "consolidated OSINT workbook"
    ],
    "description": "End-to-end external OSINT engagement autopilot. Run the FULL osint-methodology pipeline to completion in ONE go for an authorized domain — engagement folder, Stages 1-5 (seed, expansion, enrichment, exposure, convergence), multi-agent per-host content+JS fan-out, headline verification, auto-generated findings, and a consolidated multi-tab .xlsx deliverable. Stops ONLY for Stage 6 (active exploitation) arming and out-of-scope sibling assets. Use whenever asked to \"run OSINT \/ recon \/ attack-surface\" on a target — do NOT deliver a thin passive first pass."
}

OSINT Autopilot

Purpose: eliminate the "thin first pass, then user pushes for more" failure. When the user says run OSINT/recon on <domain> (authorized), execute the whole pipeline to completion and hand back the consolidated workbook — no stopping to ask except the two hard gates below.

Read the companion osint-methodology skill for the framework; this skill is the executable runbook. Feedback memory osint-full-pipeline-default governs the default.

Hard gates (the ONLY reasons to stop and ask)

  1. Authorization — if not already asserted, ask the one scope question, then proceed. (Here it's typically already signed.)
  2. Stage 6 (active exploitation) — BOLA/IDOR, credential replay, injection confirmation. Never run under autopilot; present the ranked target queue and wait for arming.
  3. Out-of-scope siblings — a newly-discovered sibling domain/brand (e.g. <company>.io when scope was .com). Flag; don't scan until confirmed.

Everything in Stages 1–5 runs without pausing for questions.

Run sequence

Let S = ~/.claude/skills/osint-autopilot/scripts.

1. Deterministic recon (Stages 1–3 + harvest + breach + ports)

bash $S/recon_pipeline.sh <domain>

Creates ~/Research/engagements/<domain>/ and populates evidence (DNS/WHOIS/RDAP/email-sec, subdomain union via subfinder+certspotter+crt.sh, dig-resolve, HTTP probe, identity fabric, /version disclosure, S3 takeover check, gau+wayback+JS harvest, HudsonRock breach, bounded public-IP port scan), hashes everything, and splits responsive hosts into buckets/bucket-NN.

Host notes baked in: uses dig/curl (ProjectDiscovery dnsx/httpx segfault on this M1 — cgo m1cpu); nmap is time-capped at 10 min so it can't stall.

2. Multi-agent per-host fan-out (Stage 4 exposure)

Read buckets/COUNT and the buckets/bucket-* paths, then launch the workflow (ffuf must be on PATH — go install github.com/ffuf/ffuf/v2@latest if missing):

Workflow({ scriptPath: "<S>/host_enum.workflow.js",
  args: { domain:"<domain>", engDir:"~/Research/engagements/<domain>" (absolute),
          ffuf:"<gopath>/bin/ffuf", wordlist:"<S>/wordlist.txt",
          buckets:[ absolute bucket-00 … bucket-NN ] } })

Pass args as a real JSON object, NOT a stringified one — the harness hands args to the script verbatim; a string makes args.domain/args.buckets undefined and only the synthesize agent runs. The script fails loudly if args are malformed. engDir must be absolute. buckets = absolute paths of every buckets/bucket-* file (read buckets/COUNT).

It fans out ffuf content-discovery + JS/endpoint analysis per bucket (agentType general-purpose), then synthesizes a ranked BOLA/IDOR target queue. Save synthesis to evidence/stage6-content/SYNTHESIS.md. Optional screenshots: gowitness scan file -f <urls> --screenshot-path evidence/stage6-screens --write-db (Chrome required).

3. Verify headlines yourself (do NOT trust agent output blindly)

Re-curl every CONFIRMED-worthy claim before reporting it: exposed secrets (fetch the JS/vars file), /version disclosures, Cognito/Auth0 config, any "unauth admin 200". Downgrade anything you can't reproduce.

4. Auto-findings + workbook

build_xlsx.py requires the openpyxl pip package (pip install -r $S/requirements.txt if missing).

python3 $S/findings_gen.py <domain>     # evidence -> findings/findings.csv (rules engine)
python3 $S/build_xlsx.py  <domain>      # findings.csv + evidence -> <domain>-osint-consolidated.xlsx

findings_gen.py encodes the rubric (non-prod exposure, CDN/WAF-bypass origins, internal-IP leak, DMARC/SPF, /version disclosure, JS secrets, S3 takeover, identity fabric, breach severity, WordPress, port exposure). Hand-add any nuanced findings the rules miss by editing findings.csv, then re-run build_xlsx.py.

5. Report

Give the consolidated .xlsx path + a short severity summary, then present the two open gates (Stage 6 queue + any out-of-scope siblings). Offer passive CVE mapping against disclosed versions as a next step.

Deliverable

~/Research/engagements/<domain>/:

  • <domain>-osint-consolidated.xlsx — 9–10 tabs (Summary, Findings, Subdomains, Live Hosts, API Endpoints, Secrets, Ports, Internal-IP-Leak, Screenshots)
  • findings/findings.csv · evidence/** (+ .sha256) · evidence/stage6-content/SYNTHESIS.md · run-log.jsonl

Time budget

Small org (<100 hosts): ~15–25 min wall-clock. Medium (100–1K): ~30–60 min, dominated by the fan-out workflow and gau harvest.

Scale note

The fan-out is ~1 agent per 18 hosts. Keep total agents ≤15 (default guideline); for >270 responsive hosts, raise bucket size in recon_pipeline.sh (split -l) rather than agent count.

Version History

  • 66ffd91 Current 2026-08-16 07:07

Same Skill Collection

skills/cloud-saas-exposure/SKILL.md
skills/continuous-exposure-monitoring/SKILL.md
skills/email-domain-security/SKILL.md
skills/exposure-risk-quantification/SKILL.md
skills/identity-provider-recon/SKILL.md
skills/org-attack-surface/SKILL.md
skills/osint-methodology/SKILL.md

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