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 skills add 26zl/cybersec-toolkit --skill conducting-external-reconnaissance-with-osintgit clone --depth 1 https://github.com/26zl/cybersec-toolkitWrote 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/26zl/cybersec-toolkit/conducting-external-reconnaissance-with-osint)<a href="https://agentmods.dev/skills/26zl/cybersec-toolkit/conducting-external-reconnaissance-with-osint"><img src="https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/conducting-external-reconnaissance-with-osint/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/26zl/cybersec-toolkit/conducting-external-reconnaissance-with-osint"><img src="https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/conducting-external-reconnaissance-with-osint.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 178 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00096 | $0.02690 |
| Opus 5.5 | $0.00038 | $0.01076 |
| Sonnet 5.5 | $0.00019 | $0.00538 |
| Haiku 4.5 | $0.00010 | $0.00269 |
Grade A, and why
conducting-external-reconnaissance-with-osint 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 1mo 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.
- `crt.sh` certificate transparency log queries: `curl -s "https://crt.sh/?q=%25.target.com&output=json" | jq -r '.[].name_value' | sort -u` Copies of this mod
2 near-identical copies found in the catalogue:
- conducting-external-reconnaissance-with-osint — 100% identical, 0 lines differ
- conducting-external-reconnaissance-with-osint — 94% identical, 10 lines differ
How it starts
The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conducting External Reconnaissance with OSINT
When to Use
- Performing the initial reconnaissance phase of a penetration test to gather intelligence before active scanning
- Mapping an organization's external attack surface to identify unknown or shadow IT assets
- Collecting employee information, email formats, and organizational structure for social engineering campaigns
- Identifying exposed credentials, leaked data, or sensitive documents published on the internet
- Scoping the breadth of an organization's digital footprint prior to a red team engagement
Do not use for stalking, harassment, or unauthorized surveillance of individuals. OSINT gathering must be conducted within the scope of an authorized engagement and comply with applicable privacy laws (GDPR, CCPA).
Prerequisites
- Written authorization to perform reconnaissance against the target organization
- Dedicated research workstation with a VPN or Tor for anonymized queries when required
- OSINT framework tools installed: Amass, theHarvester, Shodan CLI, Recon-ng, SpiderFoot
- API keys for Shodan, Censys, SecurityTrails, Hunter.io, VirusTotal, and GitHub for enhanced results
- Disposable email accounts for accessing services that require registration during research
Workflow
Step 1: Domain and DNS Enumeration
Enumerate all domains, subdomains, and DNS records associated with the target:
- Root domain identification: Start with the primary domain and identify all related domains through reverse WHOIS lookups on registrant name, email, and organization using
whoxy.comordomaintools.com - Subdomain enumeration: Run multiple tools for comprehensive coverage:
amass enum -passive -d target.com -o amass_subs.txtfor passive subdomain discovery from 40+ data sourcessubfinder -d target.com -all -o subfinder_subs.txtfor fast passive enumerationcrt.shcertificate transparency log queries:curl -s "https://crt.sh/?q=%25.target.com&output=json" | jq -r '.[].name_value' | sort -u
- DNS record analysis: Query for all record types:
dig target.com ANY, check for SPF, DKIM, DMARC records that reveal email infrastructure, and enumerate MX records to identify email providers - Zone transfer attempt:
dig axfr @ns1.target.com target.comto check for misconfigured DNS servers - Consolidate results: Merge, deduplicate, and resolve all discovered subdomains to IP addresses. Map IP addresses to ASN and hosting providers.
What ships with it
3 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.
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.
- 1mo ago First seen · 192 lines · 96 tokens per session scan A eca75ef71dd3
conducting-external-reconnaissance-with-osint is a skill published in the GitHub repository 26zl/cybersec-toolkit (84 stars, last pushed 2d ago), licensed MIT. It adds 96 tokens to every session and 2,690 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-03.
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