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 Youngmaidainon/Agent-Level-Up --skill building-threat-hunt-hypothesis-frameworkgit clone --depth 1 https://github.com/Youngmaidainon/Agent-Level-UpWrote 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/youngmaidainon/agent-level-up/building-threat-hunt-hypothesis-framework)<a href="https://agentmods.dev/skills/youngmaidainon/agent-level-up/building-threat-hunt-hypothesis-framework"><img src="https://agentmods.dev/badge/skills/youngmaidainon/agent-level-up/building-threat-hunt-hypothesis-framework/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/youngmaidainon/agent-level-up/building-threat-hunt-hypothesis-framework"><img src="https://agentmods.dev/badge/skills/youngmaidainon/agent-level-up/building-threat-hunt-hypothesis-framework.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 | $0.00096 | $0.00814 |
| Opus 5.5 | $0.00038 | $0.00326 |
| Sonnet 5.5 | $0.00019 | $0.00163 |
| Haiku 4.5 | $0.00010 | $0.00081 |
Grade A, and why
building-threat-hunt-hypothesis-framework 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.
This is a copy
97% identical to building-threat-hunt-hypothesis-framework — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Building Threat Hunt Hypothesis Framework
When to Use
- When proactively hunting for indicators of building threat hunt hypothesis framework in the environment
- After threat intelligence indicates active campaigns using these techniques
- During incident response to scope compromise related to these techniques
- When EDR or SIEM alerts trigger on related indicators
- During periodic security assessments and purple team exercises
Prerequisites
- EDR platform with process and network telemetry (CrowdStrike, MDE, SentinelOne)
- SIEM with relevant log data ingested (Splunk, Elastic, Sentinel)
- Sysmon deployed with comprehensive configuration
- Windows Security Event Log forwarding enabled
- Threat intelligence feeds for IOC correlation
Workflow
- Formulate Hypothesis: Define a testable hypothesis based on threat intelligence or ATT&CK gap analysis.
- Identify Data Sources: Determine which logs and telemetry are needed to validate or refute the hypothesis.
- Execute Queries: Run detection queries against SIEM and EDR platforms to collect relevant events.
- Analyze Results: Examine query results for anomalies, correlating across multiple data sources.
- Validate Findings: Distinguish true positives from false positives through contextual analysis.
- Correlate Activity: Link findings to broader attack chains and threat actor TTPs.
- Document and Report: Record findings, update detection rules, and recommend response actions.
Key Concepts
| Concept | Description |
|---|---|
| TA0001 | Initial Access |
| TA0003 | Persistence |
| TA0008 | Lateral Movement |
| TA0010 | Exfiltration |
Tools & Systems
| Tool | Purpose |
|---|---|
| CrowdStrike Falcon | EDR telemetry and threat detection |
| Microsoft Defender for Endpoint | Advanced hunting with KQL |
| Splunk Enterprise | SIEM log analysis with SPL queries |
| Elastic Security | Detection rules and investigation timeline |
| Sysmon | Detailed Windows event monitoring |
| Velociraptor | Endpoint artifact collection and hunting |
| Sigma Rules | Cross-platform detection rule format |
What ships with it
6 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.
- 2mo ago First seen · 96 lines · 96 tokens per session scan A 839804d8a8f5
building-threat-hunt-hypothesis-framework is a skill published in the GitHub repository Youngmaidainon/Agent-Level-Up (4 stars, last pushed 2mo ago), licensed MIT. It adds 96 tokens to every session and 814 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to building-threat-hunt-hypothesis-framework, differing in 3 lines, and is treated as a copy.
building-threat-hunt-hypothesis-framework compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| building-threat-hunt-hypothesis-frameworkYoungmaidainon/Agent-Level-Up | Skill | 4 | 2mo ago | MIT | A | 96 | Claude Code, Codex |
| building-threat-hunt-hypothesis-frameworkadriannoes/awesome-agentic-ai | Skill | 96 | 4d ago | MIT | A | 33 | Claude Code, Codex |
| building-threat-hunt-hypothesis-framework26zl/cybersec-toolkit | Skill | 89 | 4d ago | MIT | A | 33 | Claude Code |
| building-threat-hunt-hypothesis-frameworkandycungkrinx91/konoha | Skill | 15 | 3d ago | MIT | A | 33 | Claude Code, Codex |
| building-threat-hunt-hypothesis-frameworkautohandai/community-skills | Skill | 13 | 3mo ago | Apache-2.0 | A | 33 | Claude Code, Codex |
| building-threat-hunt-hypothesis-frameworkRobotFlow-Labs/skills-repo | Skill | 2 | 7mo ago | none | A | 33 | Claude Code, Codex |
| building-a-threat-hunt-hypothesismeltedinhex/analyst-ai-pack | Skill | 24 | 4mo ago | Apache-2.0 | A | 67 | Claude Code, Codex |