agentmods.dev

epistemic-deconstructor

epistemic-deconstructor is a skill for Claude Code, Codex from NikolasMarkou/epistemic-deconstructor. It costs 82 tokens per session (8,336 once invoked), scanned A, original, GPL-3.0.

A structured method for figuring out how an unknown system works by observing it and testing explanations. It applies scientific reasoning to black-box analysis, security investigation, forensics, competitive research, and prediction.

In plain words
What is it for?
Use it to analyse systems without internal access, investigate security behaviour, study competitors, examine evidence, or build predictive models.
Why use it?
It gives investigations a repeatable way to move from limited observations to tested explanations instead of relying on guesses.

Skill for Claude CodeCodex

not rated 23 1mo ago A scan 82 tokens GPL-3.0
View the source file NikolasMarkou/epistemic-deconstructor
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.

agentmods
npx agentmods add skills/nikolasmarkou/epistemic-deconstructor/src
Any agent
npx skills add NikolasMarkou/epistemic-deconstructor --skill src
Clone the repo
git clone --depth 1 https://github.com/NikolasMarkou/epistemic-deconstructor

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 epistemic-deconstructor

README.md
[![agentmods](https://agentmods.dev/badge/skills/nikolasmarkou/epistemic-deconstructor/src.svg)](https://agentmods.dev/skills/nikolasmarkou/epistemic-deconstructor/src)
Your own site
<a href="https://agentmods.dev/skills/nikolasmarkou/epistemic-deconstructor/src"><img src="https://agentmods.dev/badge/skills/nikolasmarkou/epistemic-deconstructor/src.svg" alt="Measured on agentmods" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,336 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found 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 $0.00082 $0.08336
Opus 5 $0.00041 $0.04168
Sonnet 5 $0.00016 $0.01667
Haiku 4.5 $0.00008 $0.00834

Measured 3d ago against content hash 20b46f380766, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

epistemic-deconstructor 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 3d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/abductive_engine.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

src/SKILL.md · 415 lines

The source is not reproduced here

Licensed GPL-3.0

The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 3d ago First seen · 415 lines · 82 tokens per session scan A 20b46f380766

Subscribe to this mod's changes

epistemic-deconstructor is a skill published in the GitHub repository NikolasMarkou/epistemic-deconstructor (23 stars, last pushed 1mo ago), licensed GPL-3.0. It adds 82 tokens to every session and 8,336 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

ResearchSecurity
Related

Other skills, from other repositories

systematic-debugging

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

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 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