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 tsale/awesome-dfir-skills --skill threat-actor-profilinggit clone --depth 1 https://github.com/tsale/awesome-dfir-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/tsale/awesome-dfir-skills/threat-actor-profiling)<a href="https://agentmods.dev/skills/tsale/awesome-dfir-skills/threat-actor-profiling"><img src="https://agentmods.dev/badge/skills/tsale/awesome-dfir-skills/threat-actor-profiling/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/tsale/awesome-dfir-skills/threat-actor-profiling"><img src="https://agentmods.dev/badge/skills/tsale/awesome-dfir-skills/threat-actor-profiling.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00145 | $0.02581 |
| Opus 5 | $0.00072 | $0.01290 |
| Sonnet 5 | $0.00029 | $0.00516 |
| Haiku 4.5 | $0.00015 | $0.00258 |
Grade A, and why
threat-actor-profiling 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 11d 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 — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Threat Actor Profiling Skill
Generate structured, actionable threat actor profiles following a deliverable-first methodology grounded in the 5W1H framework and the Diamond Model of Intrusion Analysis.
When to Use
- User asks to profile or research a threat actor / APT group
- User needs to produce an intelligence deliverable about an adversary
- User wants to structure existing threat data into a TA profile
- User is responding to an RFI or incident involving a known threat actor
- User wants to assess capability, intent, or victimology of a group
Core Workflow
Follow these six steps in order. Each step builds toward a complete profile.
Step 1: Define Scope and Purpose
Before collecting any data, clarify:
- Profile type: Is this for continuous internal tracking or an incident-driven analytical deliverable?
- Audience: Who will consume this? (CTI team, SOC, IR, executives, legal, comms)
- Trigger: Is this RFI-driven, incident-driven, or proactive tracking?
Use this decision matrix:
| Purpose | Audience | Focus | Risk to Avoid |
|---|---|---|---|
| Internal tracking | CTI, SOC, IR | Structured IOCs and TTPs, minimal narrative | Building a library nobody uses |
| Analytical deliverable | Management, Legal, Comms, IR | Timelines, impact analysis, recommendations | Unfocused data collection |
Step 2: Collect Data Sources
Gather from two categories:
Internal telemetry (if incident-related):
- SIEM logs
- EDR/XDR alerts
- IAM / Active Directory events
- NDR and NetFlow data
- Cloud control plane and SaaS logs
- Honeypot data
- Vulnerability management systems
External intelligence:
- TIPs (OpenCTI, ThreatConnect, CrowdStrike Falcon, etc.)
- Content aggregators (Recorded Future, Feedly, Inoreader)
- OSINT tools (VirusTotal, urlscan.io, any.run, Shodan, Censys, abuse.ch)
- Sharing communities (ISACs, FIRST, bilateral partners)
Evaluate source quality using the Admiralty Code:
- Source Reliability: A (completely reliable) through F (cannot be judged)
- Information Credibility: 1 (confirmed) through 6 (cannot be judged)
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.
- 11d ago First seen · 244 lines · 145 tokens per session scan A b07835c5fd28
threat-actor-profiling is a skill published in the GitHub repository tsale/awesome-dfir-skills (321 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 145 tokens to every session and 2,581 once invoked, about $0.0007 per session on Opus 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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