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 Liberty91LTD/cti-skills --skill darkweb-collectiongit clone --depth 1 https://github.com/Liberty91LTD/cti-skillsWrote 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/liberty91ltd/cti-skills/darkweb-collection)<a href="https://agentmods.dev/skills/liberty91ltd/cti-skills/darkweb-collection"><img src="https://agentmods.dev/badge/skills/liberty91ltd/cti-skills/darkweb-collection/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/liberty91ltd/cti-skills/darkweb-collection"><img src="https://agentmods.dev/badge/skills/liberty91ltd/cti-skills/darkweb-collection.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00089 | $0.03982 |
| Opus 5.5 | $0.00036 | $0.01593 |
| Sonnet 5.5 | $0.00018 | $0.00796 |
| Haiku 4.5 | $0.00009 | $0.00398 |
Grade A, and why
darkweb-collection scanned grade A with 0 findings 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 2mo 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dark Web Collection
A practical, defender-oriented methodology for collecting cyber threat intelligence from underground forums, marketplaces, and Telegram channels. The skill assumes you are a defensive analyst, not a covert operator, and recommends a vendor-first posture with self-hosted DIY collection documented as a fallback.
This SKILL.md is the entry point. The substantive material lives in references/ and scripts/:
references/forums.md— 35+ sourced underground forums across 8 categoriesreferences/telegram-channels.md— 30+ sourced Telegram channels across 6 categoriesreferences/access-methods.md— vendor matrix + DIY playbookreferences/opsec.md— handler-side OPSEC primerreferences/passive-monitoring.md— selector strategy and toolingreferences/telegram-setup.md— step-by-step setup fortelegram_monitor.py(api_id, burner, session file)scripts/onion_search.py— clearnet search of onion indexers (Ahmia, dark.fail, IntelligenceX)scripts/telegram_monitor.py— read-only Telethon channel monitor (requires--i-understand-opsecfor live ops)scripts/keyword_match.py— local regex/keyword scanner over collected JSONL
Scope and explicit exclusions
In scope. Cybercrime-focused collection: ransomware leak sites and group communications, initial access broker (IAB) markets, infostealer log shops, malware and exploit forums, carding and financial-fraud platforms, breach and data-leak forums, hacktivist coordination channels (where defensible cyber TTPs are documented), and lightly-touched nation-state-cyber-adjacent activity (e.g., GRU-nexus hacktivist fronts, IRGC-aligned cyber operations).
Explicitly out of scope. This skill does not list, link, or guide access to:
- Child sexual abuse material (CSAM) — discovery is mandatory-reportable in most jurisdictions; report to NCMEC (US), IWF (UK), Project Arachnid (Canada), or national equivalent and stop further investigation.
- Terrorism-glorifying or terrorism-instructional content — refer to national counter-terrorism units and to specialist platforms (GIFCT, Tech Against Terrorism).
- Violent-extremist or live-violence material — refer to law enforcement immediately.
- Personal-physical-safety threats against named individuals — refer to law enforcement and physical-security teams.
What ships with it
9 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.
- references/access-methods.md 12 KB
- references/forums.md 28 KB
- references/opsec.md 9.7 KB
- references/passive-monitoring.md 9.2 KB
- references/telegram-channels.md 21 KB
- references/telegram-setup.md 17 KB
- scripts/keyword_match.py 7.6 KB runs code
- scripts/onion_search.py 12 KB runs code
- scripts/telegram_monitor.py 20 KB runs code
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.
- 2mo ago First seen · 193 lines · 89 tokens per session scan A 2fbc3f248b0f
darkweb-collection is a skill published in the GitHub repository Liberty91LTD/cti-skills (36 stars, last pushed 4d ago), licensed MIT. It adds 89 tokens to every session and 3,982 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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