Borrowing it
Nothing to install: this file belongs to Nebulock-Inc/agentic-threat-hunting-framework. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Nebulock-Inc/agentic-threat-hunting-framework/main/.claude/skills/gates/SKILL.mdgit clone --depth 1 https://github.com/Nebulock-Inc/agentic-threat-hunting-frameworkWrote 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/nebulock-inc/agentic-threat-hunting-framework/gates)<a href="https://agentmods.dev/skills/nebulock-inc/agentic-threat-hunting-framework/gates"><img src="https://agentmods.dev/badge/skills/nebulock-inc/agentic-threat-hunting-framework/gates/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/nebulock-inc/agentic-threat-hunting-framework/gates"><img src="https://agentmods.dev/badge/skills/nebulock-inc/agentic-threat-hunting-framework/gates.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 | $0.00036 | $0.11700 |
| Opus 5.5 | $0.00014 | $0.04680 |
| Sonnet 5.5 | $0.00007 | $0.02340 |
| Haiku 4.5 | $0.00004 | $0.01170 |
Grade A, and why
gates 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 24d 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 — 889 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GATES Hunt Detection Validator
Apply GATES (Generalizable, Additive, Tunable, Exposure-tested, Sustainable) method to hunt KEEP phase outputs.
When to Use
- After completing any hunt (with or without explicit detection logic)
- To identify which hunt findings would make good detections
- To validate detection quality meets operational thresholds
- To determine if hunt should produce detections vs. advisories vs. recurring playbook
Usage
/gates --hunt H-XXXX
Hunt Output Types & GATES Applicability
GATES adapts to different hunt outcomes:
| Hunt Type | Output | GATES Action | Example |
|---|---|---|---|
| Behavioral detection hunt | Explicit detection rules proposed | Score those rules | H-0903 (ClickFix), H-0904 (MEGAsync) |
| Exploration hunt | Queries + observations, no rules | Extract detection candidates from patterns | H-0902 (Zeek inspection) |
| Negative hunt | 0 TPs, behavioral pattern tested | Evaluate for proactive deployment or HOLD | H-0901 (browser extension installer) |
| Risk assessment hunt | Configuration findings, no behaviors | Document as non-GATES (advisory output) | H-0907 (Camera infrastructure) |
| Multi-step investigation | Requires analyst correlation | Classify as RECURRING_HUNT playbook | Asset correlation hunts |
| Baseline/inventory hunt | Environmental understanding | Document as knowledge capture (no detection) | Asset inventory, normal behavior mapping |
Key insight: Not every hunt produces detections. GATES identifies which hunts should → detections vs. advisories vs. playbooks.
Framework Reference
GATES 5+5: 5 BASE (assert from hunt) + 5 ADVANCED (demonstrate operationally)
The acronym expands differently per tier, on purpose. Each letter names a concern;
each tier asks a different question about it, so A and S take a different word in
ADVANCED than in BASE. The table below is the canonical naming — no other expansion of
GATES is current. In particular "Accuracy", "Telemetry" and "Executability" are not
GATES gates; if you see them, they're stale.
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.
- AGENT_MEMORY_SCHEMA.md 34 KB
- examples/outputs/H-0901_EXAMPLE.yaml 9.0 KB
- examples/outputs/H-0902_EXAMPLE.yaml 6.6 KB
- examples/outputs/H-0903_EXAMPLE.yaml 12 KB
- examples/outputs/H-0905_EXAMPLE.md 11 KB
- examples/outputs/H-0906_EXAMPLE.yaml 9.6 KB
- examples/outputs/H-0907_EXAMPLE.md 4.4 KB
- examples/README.md 5.8 KB
- README.md 6.1 KB
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.
- 24d ago Changed · +50 lines 5a22c0861fcf
- 29d ago First seen · 839 lines · 36 tokens per session scan A e64137afe34d
gates is a skill published in the GitHub repository Nebulock-Inc/agentic-threat-hunting-framework (402 stars, last pushed 5d ago), licensed MIT. It adds 36 tokens to every session and 11,700 once invoked, about $0.0001 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 2026-09-28.
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