assumption-excavation skillA
assumption-excavation is agent-read markdown (skill) from yogsoth-ai/de-anthropocentric-research-engine: Systematic extraction, challenge, and sensitivity analysis of assumptions.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Assumption Excavation A three-phase tactic that surfaces hidden assumptions, challenges each one adversarially, and maps which assumptions are load-bearing for the conclusion. Decisions often rest on unstated beliefs — this tactic makes them explicit and tests their strength. ## Stages 1. **Assumption Extraction** — Systematically surface all assumptions underlying the decision, with confidence levels 2. **Assumption Challenge** — For each assumption, construct the strongest counter-argument and identify alternatives 3. **Conclusion Sensitivity** — Map which assumptions, if wrong, would change the conclusion ## Available SOPs | SOP | Phase | Purpose | |-----|-------|---------| | assumption-extraction | Extract | Surface hidden assumptions with confidence | | assumption-challenge | Challenge | Attack each assumption adversarially | | conclusion-sensitivity | Sensitivity | Map load-bearing assumptions | ## Execution Guidance - Extract minimum 5 assumptions per decision - Challenge ALL assumptions, not just obvious ones - Confidence levels: HIGH (>80%), MEDIUM (50-80%), LOW (<50%) - Critical assumption = conclusion changes if assumption is wrong …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/assumption-excavation@git:20260616.b2b0cdemdr add yogsoth-ai/de-anthropocentric-research-engine/assumption-excavation@sha256:520f033bc039d4cfPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_23d7xoiuqpkwjc2y)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260616.b2b0cde latest | 2026-06-16 | b2b0cde | 2,458 B | A | view · diff |
| git:20260615.48da2e0 | 2026-06-15 | 48da2e0 | 2,447 B | A | view · diff |
| git:20260615.7a62936 | 2026-06-15 | 7a62936 | 1,857 B | A | view · diff |
| git:20260519.dc15fe2 | 2026-05-19 | dc15fe2 | 1,754 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (2458 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
yogsoth-ai/de-anthropocentric-research-engine · 498 stars · license Apache-2.0 · pushed 2026-09-17 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_23d7xoiuqpkwjc2y GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/assumption-excavation GET https://markdownregistry.com/api/v1/blob/520f033bc039d4cfa6b7900745418d25c7b09bbcccf472438517e99468aca564
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