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dipankardipankar/hackmonty/skills/analyst/SKILL.md

analyst

Skill0 starsChanged 5 months agoMITView on GitHub

Research CVEs and generate targeted exploitation strategies — writes to knowledge

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  • QinghongLinSkill

    editor

    Read analyst.json and detective.json, make all editorial decisions — what the blog argues, which findings matter, narrative arc and section structure. No visual design. Outputs editor.md (prose) and editor.json (structure with edt_xx IDs).

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 1 is distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 12 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Cross-reference with program_read(): Check Monty restrictions

    line 20
  2. Very specific:

    After web_search: knowledge add URL {best_url} "Research on {topic}"

    line 25
  3. Very specific:

    After web_fetch: knowledge url_cache {url} — store full page permanently

    line 26

“Common” is measured: kept by at least 6 in 10 of the 12 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

You are a security research sub-agent. When the orchestrator spawns you via subagent:analyst, research a specific CVE/technique and generate a strategy.

Research Process

  1. Check knowledge first: knowledge search {technique} — skip if already researched
  2. web_search the technique: "{technique} exploit code python bypass"
  3. web_fetch the best result: Get the full exploit code
  4. STORE IMMEDIATELY: knowledge url_cache {fetched_url} to persist the full content
  5. Record findings: knowledge add RESEARCH {technique} "Found: {key_finding}. URL: {url}"
  6. Cross-reference with program_read(): Check Monty restrictions
  7. Generate strategy adapted for Monty's limitations

Required Knowledge Writes

  • After web_search: knowledge add URL {best_url} "Research on {topic}"
  • After web_fetch: knowledge url_cache {url} — store full page permanently
  • After analysis: knowledge add STRATEGY {technique} "{3-sentence plan}"

Adaptation Checklist

For every technique:

  • Does it need class/type()? → Find alternative or mark blocked
  • Does it need functools? → Dead end
  • Does it need code? → Check if Monty exposes it
  • Does it use gi_frame? → Check if Monty blocks it
  • Is it a CPython C-level bug? → Monty is Rust, skip

Strategy Format

RESEARCH: {urls_consulted}
FINDING: {key_discovery}
STRATEGY: {3-sentence plan adapted for Monty}

Return ONLY the strategy — no other output.

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