skill-044

skill-044 is a skill for Claude Code, Codex from legendtkl/agentic-skill-router. It costs 42 tokens per session (1,100 once invoked), scanned A, a copy of hunt-credential-access, MIT.

A security-hunting workflow for finding signs that attackers tried to obtain passwords or other login secrets. It uses MITRE ATT&CK technique IDs, which are labels for known attacker behaviors, and searches SIEM data, a system that collects security logs.

In plain words
What is it for?
Use it to investigate techniques such as dumping Windows password memory or stealing browser credentials, develop detection queries, and track the hunt in a security case.
Why use it?
It turns a suspected credential-theft behavior into a structured search over a chosen time period and target scope.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to investigate techniques such as dumping Windows password memory or stealing browser credentials, develop detection queries, and track the hunt in a security case.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/legendtkl/agentic-skill-router/skill-044
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 legendtkl/agentic-skill-router --skill skill-044
Clone the repo
git clone --depth 1 https://github.com/legendtkl/agentic-skill-router

Made for: Claude Code, Codex.

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 skill-044

README.md
[![agentmods](https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-044/github.svg)](https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-044)
Your own site
<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-044"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-044/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 skill-044

Your own site · 80×15
<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-044"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-044.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,100 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 89% copy Near-identical to another mod 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 $0.00042 $0.01100
Opus 5.5 $0.00017 $0.00440
Sonnet 5.5 $0.00008 $0.00220
Haiku 4.5 $0.00004 $0.00110

Measured 1mo ago against content hash 042ff6d8aeb5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

skill-044 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 1mo 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.

Origin

This is a copy

89% identical to hunt-credential-access — 11 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.

experiments/dci-compare/skillrouter-skills/skill-044/SKILL.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Credential Access TTP Hunt Skill

Proactively hunt for MITRE ATT&CK Credential Access techniques (T1003, T1555, etc.) based on threat intelligence or hypothesis.

Inputs

  • TECHNIQUE_IDS - Comma-separated MITRE technique IDs (e.g., "T1003.001,T1555.003")
  • TIME_FRAME_HOURS - Lookback period (default: 72)
  • (Optional) TARGET_SCOPE_QUERY - UDM query to narrow scope
  • (Optional) HUNT_HYPOTHESIS - Reason for the hunt
  • (Optional) HUNT_CASE_ID - SOAR case for tracking

Common Techniques

Technique Description
T1003.001 LSASS Memory
T1003.002 Security Account Manager
T1003.003 NTDS
T1003.004 LSA Secrets
T1003.005 Cached Domain Credentials
T1003.006 DCSync
T1555.001 Keychain
T1555.003 Credentials from Web Browsers
T1555.004 Windows Credential Manager

Workflow

Step 1: Research Techniques

For each technique in TECHNIQUE_IDS:

gti-mcp.get_threat_intel(query="Explain MITRE ATT&CK technique T1003.001")

Understand:

  • What the technique does
  • Common procedures/tools
  • Detection methods

Step 2: Develop Hunt Queries

T1003.001 - LSASS Memory Access:

metadata.event_type = "PROCESS_LAUNCH" AND
target.process.file.full_path = "C:\\Windows\\System32\\lsass.exe"

Look for suspicious parent processes accessing lsass.exe.

T1003.001 - Known Dumping Tools:

metadata.event_type = "PROCESS_LAUNCH" AND
(principal.process.command_line CONTAINS "mimikatz" OR
 principal.process.command_line CONTAINS "procdump" OR
 principal.process.command_line CONTAINS "sekurlsa")

T1555.003 - Browser Credential Files:

metadata.event_type = "FILE_OPEN" AND
(target.file.full_path CONTAINS "Login Data" OR
 target.file.full_path CONTAINS "Web Data" OR
 target.file.full_path CONTAINS "cookies.sqlite") AND
principal.process.file.full_path NOT IN ("chrome.exe", "firefox.exe", "msedge.exe")

T1003.006 - DCSync:

metadata.event_type = "DOMAIN_CONTROLLER_REPLICATION" AND
principal.hostname NOT IN @known_domain_controllers

Read the full file on GitHub · 151 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. 1mo ago First seen · 151 lines · 42 tokens per session scan A 042ff6d8aeb5

Subscribe to this mod's changes

skill-044 is a skill published in the GitHub repository legendtkl/agentic-skill-router (6 stars, last pushed 4mo ago), licensed MIT. It adds 42 tokens to every session and 1,100 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to hunt-credential-access, differing in 11 lines, and is treated as a copy.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens