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 agents/mukul975/threatswarm/osintgit clone --depth 1 https://github.com/mukul975/ThreatswarmWrote 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/agents/mukul975/threatswarm/osint)<a href="https://agentmods.dev/agents/mukul975/threatswarm/osint"><img src="https://agentmods.dev/badge/agents/mukul975/threatswarm/osint.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 | $0.00097 | $0.03730 |
| Opus 5 | $0.00048 | $0.01865 |
| Sonnet 5 | $0.00019 | $0.00746 |
| Haiku 4.5 | $0.00010 | $0.00373 |
Grade A, and why
osint scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://crt.sh/?q=%25.$DOMAIN&output=json" | \ How it starts
The opening of the file, as written. The whole thing — 320 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cybersecurity Skills (Invoke First)
Before starting OSINT collection, invoke these skills via the Skill tool:
cybersecurity-skills:collecting-open-source-intelligencecybersecurity-skills:performing-osint-with-spiderfootcybersecurity-skills:performing-open-source-intelligence-gatheringcybersecurity-skills:performing-dns-enumeration-and-zone-transfercybersecurity-skills:performing-ip-reputation-analysis-with-shodan
Scope Enforcement
OSINT is passive — does not touch target systems directly. Still verify target domain/company is in scope.txt before proceeding. All output is for intelligence gathering only. Store in evidence/osint/.
Domain Intelligence
WHOIS & DNS
mkdir -p evidence/$(date +%Y%m%d)/$TARGET/osint/{dns,web,email,social,breach}
# WHOIS registration data
whois $DOMAIN 2>&1 | tee evidence/$(date +%Y%m%d)/$TARGET/osint/whois.txt
# Full DNS record enumeration
dig ANY $DOMAIN @8.8.8.8 2>&1 | tee evidence/$(date +%Y%m%d)/$TARGET/osint/dns_any.txt
dig NS $DOMAIN @8.8.8.8 2>&1
dig MX $DOMAIN @8.8.8.8 2>&1
dig TXT $DOMAIN @8.8.8.8 2>&1
dig AAAA $DOMAIN @8.8.8.8 2>&1
# Resolve all DNS record types with dnsx
dnsx -d $DOMAIN -a -aaaa -cname -ns -mx -txt -soa -resp \
-o evidence/$(date +%Y%m%d)/$TARGET/osint/dns/dnsx_all.txt 2>&1
# Zone transfer attempt (usually fails but worth trying)
for ns in $(dig NS $DOMAIN @8.8.8.8 +short); do
echo "=== Zone transfer attempt: $ns ==="
dig axfr $DOMAIN @$ns 2>&1
done | tee evidence/$(date +%Y%m%d)/$TARGET/osint/dns/zone_transfer_attempt.txt
# Reverse DNS lookup
dig -x $IP @8.8.8.8 2>&1
Certificate Transparency
# crt.sh — all certificates for domain (historical + current)
curl -s "https://crt.sh/?q=%25.$DOMAIN&output=json" | \
python3 -c "
import json, sys
data = json.load(sys.stdin)
names = set()
for entry in data:
name = entry.get('name_value', '')
for n in name.split('\n'):
n = n.strip().lstrip('*.')
if n and '$DOMAIN' in n:
names.add(n)
print('\n'.join(sorted(names)))
" 2>&1 | tee evidence/$(date +%Y%m%d)/$TARGET/osint/dns/crt_sh_subdomains.txt
echo "[*] Found $(wc -l < evidence/$(date +%Y%m%d)/$TARGET/osint/dns/crt_sh_subdomains.txt) unique subdomains from crt.sh"
# Subfinder passive subdomain enumeration
subfinder -d $DOMAIN \
-silent \
-o evidence/$(date +%Y%m%d)/$TARGET/osint/dns/subfinder.txt 2>&1
# Combine and resolve all found subdomains
cat evidence/$(date +%Y%m%d)/$TARGET/osint/dns/crt_sh_subdomains.txt \
evidence/$(date +%Y%m%d)/$TARGET/osint/dns/subfinder.txt | \
sort -u | \
dnsx -a -resp-only -silent \
-o evidence/$(date +%Y%m%d)/$TARGET/osint/dns/resolved_subdomains.txt 2>&1
echo "[*] Total resolved subdomains: $(wc -l < evidence/$(date +%Y%m%d)/$TARGET/osint/dns/resolved_subdomains.txt)"
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.
- 5d ago First seen · 320 lines · 0 tokens per session scan A 90163f92fcce
osint is an agent published in the GitHub repository mukul975/Threatswarm (77 stars, last pushed 4mo ago), licensed MIT. It adds 97 tokens to every session and 3,730 once invoked, about $0.0005 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 2026-08-30.
Other agents, from other repositories
token-auditor
Fast meme coin and token security auditor. Checks 8 token-specific bug classes (hidden mint, honeypot, fee manipulation, LP lock bypass, bonding curve exploits, authority retention, fake renounce, sandwich/MEV amplification). Runs tokenscanner.py for automated red flag detection. Covers EVM (Solidity) and Solana…
web3-auditor
Smart contract security auditor. Checks 10 bug classes in order of frequency (accounting desync 28%, access control 19%, incomplete path 17%, off-by-one 22% of Highs, oracle errors, ERC4626 attacks, reentrancy, flash loan oracle manipulation, signature replay, proxy/upgrade issues). Applies pre-dive kill signals…
validator
Finding validator. Runs the 7-Question Gate and 4-gate checklist on a described finding. Kills weak/theoretical findings fast before report writing. Prevents N/A submissions. Use before writing any report — describe the finding and this agent decides PASS, KILL, or DOWNGRADE with explanation.
recon-ranker
Attack surface ranking agent. Takes recon output and hunt memory, produces a prioritized attack plan. Ranks by IDOR likelihood, API surface, tech stack match with past successes, feature age, and nuclei findings. Use after recon to decide what to test first.
osint-collector
Delegates to this agent when the user asks about OSINT, reconnaissance, information gathering, target profiling, email harvesting, subdomain enumeration, social media recon, breach data, open source intelligence, or building a target dossier for authorized engagements.
threat-modeler
Delegates to this agent when the user asks about threat modeling, attack surface analysis, STRIDE, DREAD, attack trees, data flow diagrams, trust boundaries, or security architecture review.