reverse-skills-max: initial public release (restored, redacted, hardened)

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Apache License 2.0 — see the repository root LICENSE file for the full text.
Copyright the AnalystAIPack contributors.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0

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---
name: skill-template
description: 'One to three sentences describing what this skill does and the conditions
under which an agent should activate it. Start with a verb, name the tools and artifacts
involved, and end with the trigger phrasing (e.g. "Activates for requests involving ...").'
domain: cybersecurity
subdomain: malware-analysis
tags:
- tag-one
- tag-two
- tag-three
- tag-four
- tag-five
version: 1.0.0
author: analyst-ai-pack
license: Apache-2.0
mitre_attack:
- T0000
d3fend:
- D3-XXX
car:
- CAR-0000-00-000
references:
- 'Source title — https://example.com/primary-source'
---
# Skill Title
> Replace every bracketed placeholder. Delete this quote block and the `Safety & Handling`
> section if the skill does not touch live malware samples. Keep section order.
## When to Use
- [Concrete trigger: a situation where this skill is the right tool]
- [Another trigger]
- [Another trigger]
**Do not use** for [explicit out-of-scope cases]; instead reach for [the correct skill].
## Prerequisites
- [Tool + minimum version, with install/download pointer]
- [Lab/environment requirement]
- [Prior knowledge or input artifact required]
## Safety & Handling
*(Sample-handling skills only — delete otherwise.)*
- Work only inside an isolated analysis VM with no path to production or the internet
unless deliberately routed through a controlled gateway.
- Store samples encrypted or in password-protected archives (password `infected`); never
leave live samples loose on disk.
- Defang indicators (`hxxp://`, `1.2.3[.]4`) in any output that leaves the lab.
- Never execute a sample on the host or detonate outside the sandbox.
## Workflow
### Step 1: [Action]
[What to do and why.]
```bash
# Real, runnable command — not pseudocode
tool --do-the-thing sample.bin
```
### Step 2: [Action]
[Explanation.]
```python
# Original example code
```
### Step 3: [Action]
[Explanation.]
## Validation
- [How to confirm the analysis/hunt produced a correct, trustworthy result]
- [A cross-check or second method to corroborate findings]
## Pitfalls
- [Common mistake and how to avoid it]
- [Evasion trick or false-positive trap to watch for]
## References
- See [`references/api-reference.md`](references/api-reference.md) for tooling details and
the full list of sources this skill was synthesized from.
- [Key external source — title and URL]

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# API Reference: <Skill Title>
## Overview
[One paragraph: what `scripts/analyst.py` automates and how it fits the skill workflow.]
## Dependencies
| Package | Version | Purpose |
|---------|---------|---------|
| (stdlib) | — | Hashing, JSON, paths |
| [pkg] | >= x.y | [why] |
## External tools
| Tool | Purpose |
|------|---------|
| [tool] | [what it provides] |
## Core functions
### `analyze(target)`
[What it does, what it returns.]
### `compute_hashes(filepath)`
Returns `md5`, `sha1`, `sha256`, and `size` for file identification.
## Usage
```bash
python scripts/analyst.py path/to/artifact --json
```
## Sources
This skill was synthesized from the following primary sources. List the specific pages,
docs, specs, or reports used — not generic homepages. (See CONTRIBUTING.md.)
- [Source title — URL]
- [Source title — URL]
- [Source title — URL]

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#!/usr/bin/env python3
"""Runnable tooling for the <skill-name> skill.
Replace this module with original code that automates the skill's workflow. Keep it
self-contained, dependency-light, and safe to run. Document every public function in
``references/api-reference.md``.
Authoring rules (see CONTRIBUTING.md):
- Original code only. Do not lift or reword scripts from other skill repositories.
- Lint with ``ruff`` before committing.
- Fail safe: never execute a malware sample on the host; operate on files, logs, or
telemetry only.
"""
from __future__ import annotations
import argparse
import hashlib
import json
import sys
from pathlib import Path
def compute_hashes(filepath: str | Path) -> dict[str, str | int]:
"""Return MD5/SHA-1/SHA-256 and size for a file, for identification only."""
data = Path(filepath).read_bytes()
return {
"md5": hashlib.md5(data).hexdigest(), # noqa: S324 - identification, not security
"sha1": hashlib.sha1(data).hexdigest(), # noqa: S324
"sha256": hashlib.sha256(data).hexdigest(),
"size": len(data),
}
def analyze(target: str | Path) -> dict:
"""Entry point for the skill's core logic. Replace with real implementation."""
target = Path(target)
if not target.exists():
raise FileNotFoundError(target)
return {
"target": str(target),
"hashes": compute_hashes(target),
"findings": [],
}
def main(argv: list[str] | None = None) -> int:
parser = argparse.ArgumentParser(description="AnalystAIPack skill tool")
parser.add_argument("target", help="path to the file or artifact to analyze")
parser.add_argument("--json", action="store_true", help="emit JSON output")
args = parser.parse_args(argv)
result = analyze(args.target)
if args.json:
print(json.dumps(result, indent=2))
else:
for key, value in result.items():
print(f"{key}: {value}")
return 0
if __name__ == "__main__":
sys.exit(main())