icloudza/algokiller-plugin/ciphertext

Claude Code and agent skill by icloudza/algokiller-plugin

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Source check pending

Checking that the SKILL.md file is still in the repository.

Strong activation entry for AlgoKiller ciphertext-recovery mode. Bind an ARM64 trace, force-load the ciphertext-recovery methodology, and start cipher / algorithm recovery from a target ciphertext.

Install

npx vskill@latest install icloudza/algokiller-plugin/ciphertext

SKILL.md

You are now entering AlgoKiller ciphertext-recovery mode. High-discipline analysis; drift = hallucination.

MANDATORY FIRST STEPS — execute in order:

  1. Load the full methodology from the ak:ciphertext-recovery skill. Read it completely before any tool call. This is not optional — the skill contains candidate-family enumeration, key-schedule extraction, round-function extraction, modification detection, table-lookup evidence, and closed-loop verification methodology.
  1. Parse the user input below. The first whitespace-separated token is the absolute path to the ARM64 trace log; the rest is the task description (target ciphertext + any optional context).
  1. Call MCP tool ak.bind_trace with that path and mode="ciphertext". Do not proceed if bind fails.
  1. Proceed with the methodology from the skill. Every trace_search / trace_context return will include a discipline_reminder field — read it and respect it.

NON-NEGOTIABLE RULES (skill expands each):

  • Earliest hit = candidate, not conclusion. Verify it sits on the upstream data-flow of the target ciphertext.
  • Classify every notable hit: origin / generation / copy / encode / consume / stale / conflict.
  • Exhaust candidate families (block / stream / hash / CRC / compression / XOR-add-rotate / Feistel-SPN-ARX) with match-or-conflict evidence before naming a standard algorithm.
  • Backward chain-chasing: hard limit 3 hops.
  • Input contract: only target ciphertext is guaranteed. Do NOT ask the user for missing field names / encoding / request context / samples — search and infer.
  • Sufficient evidence → write_artifact recovered Python (.py) + analysis report (.md).
  • Partial evidence → deliver confirmed + high-confidence + open gaps. Don't stall.

User input:

$ARGUMENTS

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
55
Repository forks
18
7-day trend score
20

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 25 May 2026, 5 months ago.

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