Epistemic Deconstructor — Development skill for Claude Code
Claude skill for reverse engineering systems.
How to install Epistemic Deconstructor
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open NikolasMarkou/epistemic-deconstructor and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Epistemic Deconstructor does
Claude skill for reverse engineering systems.
Alternatives in Development
- Routing — Reverse Engineering Skill Routing Matrix 29.6k ★
- Generic Extract Skill — You are an Autonomous 3D Technical Artist Agent 14.1k ★
- Arscontexta — Claude Code plugin that generates individualized knowledge systems from conversation 2.8k ★
README
Epistemic Deconstructor
[](LICENSE) [](CHANGELOG.md) [](tests/) [](src/scripts/) [](https://www.electiconsulting.com)
**Turn "I don't know how this works" into a quantified, validated model of how it works.**
Epistemic Deconstructor is a [Claude](https://claude.com/claude-code) skill. You hand Claude a black box; it runs a structured scientific investigation — Bayesian hypothesis tracking, falsification tests, parametric model fitting, conformal prediction — and writes every step to disk so context-window loss can't erase progress. The deliverable is a validated predictive model with parameter uncertainty bounds, not a summary document. Because every hypothesis, probe, and update is persisted to a session directory, a context-window reset mid-analysis is a non-event: the next turn resumes from disk, not from memory.
You don't run the tools by hand. You talk to Claude; Claude adopts the orchestrator role, picks a depth tier, and drives the whole protocol for you.
What it sounds like
**Engineering — black-box reverse engineering.**
*"Help me figure out how this API's rate limiter works — I only have request/response logs."*
Claude seeds three competing mechanisms (token bucket / sliding window / leaky bucket) with priors, designs differential probes (burst vs. steady traffic), fits a parametric model with capacity and refill-rate uncertainty, and returns allow/reject predictions with conformal intervals plus a head-to-head comparison against a "count requests" baseline.
**Security — side-channel investigation.**
*"Does this login endpoint leak whether a username exists through response-time variance?"*
Claude
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