hunting-threats

hunting-threats is a skill for Claude Code from trilwu/secskills. It costs 78 tokens per session (3,384 once invoked), scanned A, original, MIT.

A guide to threat hunting, which is the proactive search for hidden attacker activity in endpoint, network, cloud, and identity records. It uses questions or hypotheses and can include queries for Splunk, KQL, and Elastic.

In plain words
What is it for?
Searching for missed compromises, testing attacker-behaviour hypotheses, checking threat reports against company data, validating detections, and establishing normal activity for later comparison.
Why use it?
Attackers may remain undetected even when security controls are installed and no alert has fired. This helps test what may be happening, find gaps in visibility, and record meaningful negative results.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the secskills-defense plugin — 22 skills shipped together

Good fit Searching for missed compromises, testing attacker-behaviour hypotheses, checking threat reports against company data, validating detections, and establishing normal activity for later comparison.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/trilwu/secskills/hunting-threats
Install

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.

Any agent
npx skills add trilwu/secskills --skill hunting-threats
Clone the repo
git clone --depth 1 https://github.com/trilwu/secskills

Made for: Claude Code.

Or install secskills-defense, the plugin that ships this one along with the rest of its 22 skills.

Wrote 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.

agentmods badge for hunting-threats

README.md
[![agentmods](https://agentmods.dev/badge/skills/trilwu/secskills/hunting-threats/github.svg)](https://agentmods.dev/skills/trilwu/secskills/hunting-threats)
Your own site
<a href="https://agentmods.dev/skills/trilwu/secskills/hunting-threats"><img src="https://agentmods.dev/badge/skills/trilwu/secskills/hunting-threats/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.

agentmods 80×15 button for hunting-threats

Your own site · 80×15
<a href="https://agentmods.dev/skills/trilwu/secskills/hunting-threats"><img src="https://agentmods.dev/badge/skills/trilwu/secskills/hunting-threats.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,384 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 3 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high YARA Match · line 128
    YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).
    Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.
  • high Prompt Injection · line 206
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • medium Rogue Agent · line 127
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00078 $0.03384
Opus 5 $0.00039 $0.01692
Sonnet 5 $0.00016 $0.00677
Haiku 4.5 $0.00008 $0.00338

Measured 12d ago against content hash 13c9a1234790, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

hunting-threats 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 12d 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.

| Execution via LOLBins | `rundll32`, `regsvr32`, `mshta`, `certutil`, `bitsadmin`, `msiexec` with network or unusual arguments; `curl`/`wget` piping to a shell on Linux |
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

secskills-defense/skills/hunting-threats/SKILL.md · 286 lines

How it starts

The opening of the file, as written. The whole thing — 286 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hunting Threats

Hunting starts from an assumption of failure: the controls are deployed, no alert has fired, and the adversary may still be present. The output is not usually a compromise — it is a detection, a telemetry gap, or a documented negative result. Hunts that only count as successful when they find something degrade into confirmation bias.

When to Use

  • Proactively searching for compromise that detection missed
  • Testing a specific hypothesis about attacker behaviour in your environment
  • Operationalizing a threat intel report against your telemetry
  • Validating that a control or detection actually works in production
  • Baselining an environment to enable future outlier analysis

When NOT to Use

  • Working an alert queue rather than a hypothesis — use triaging-security-alerts; a hunt starts from a question, triage from a queue
  • Confirmed incident in progress — use responding-to-incidents
  • Writing the rule for what you found — use engineering-detections
  • Sample analysis — use analyzing-malware
  • A packet capture to work through — use analyzing-network-traffic
  • A confirmed AWS compromise to investigate — use investigating-aws-incidents
  • Pivoting on indicators, tracking an actor, or producing a finished intel product — use producing-threat-intelligence; a hunt consumes intelligence, it does not produce it
  • Offensive testing of defenses — use the red team skills

Hypothesis Before Query

An unstructured search through logs is browsing, not hunting. Every hunt gets a written hypothesis in this shape:

Hypothesis: An adversary with [access level] is using [technique] to [objective], which would produce [observable] in [data source], which is distinguishable from normal because [discriminator].

If true, I expect to see: ... If false, I expect: ... Telemetry required: ... (verified present: yes/no)

If you cannot name the discriminator — what makes the malicious instance look different from the thousands of benign ones — the hunt is not ready. Go find the discriminator first; that research is the hunt.

Read the full file on GitHub · 286 lines

Changes

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.

  1. 12d ago First seen · 286 lines · 78 tokens per session scan A 13c9a1234790

Subscribe to this mod's changes

hunting-threats is a skill published in the GitHub repository trilwu/secskills (138 stars, last pushed 8d ago), licensed MIT. It adds 78 tokens to every session and 3,384 once invoked, about $0.0004 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.

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