assumption-constraint skillA
assumption-constraint is agent-read markdown (skill) from yogsoth-ai/de-anthropocentric-research-engine: Which assumptions are most fragile? — Vulnerability ranking + impact.
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
# Strategy: Assumption Constraint ## Methodology Systematic assumption vulnerability analysis: - **Extraction**: Surface all implicit and explicit assumptions - **Scoring**: Quantify vulnerability (confidence × evidence / testability) - **Impact assessment**: Blast radius × recovery cost - **Prioritization**: Vulnerability × Impact = Priority - **Validation planning**: Cheapest test that resolves uncertainty Assumption categories: | Category | Examples | |----------|----------| | Technical | Method convergence, architecture suitability | | Data | Availability, quality, representativeness | | Resource | Sufficiency of compute, time, expertise | | Environmental | Tool stability, API access, policy | | Theoretical | Effect existence, measurability, magnitude | ## Execution Flow 1. **Challenge Assumptions** → call `assumption-challenging` SOP - Input: experiment plan, hypothesis - Output: assumption inventory with validity assessment 2. **Quantify Validation Cost** → call `resource-quantification` SOP - Input: validation experiments for top assumptions - Output: cost to validate each assumption 3. **Rank Sensitivity** → invoke `sensitivity-ranking` tactic …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/assumption-constraint@v1.0.0mdr add yogsoth-ai/de-anthropocentric-research-engine/assumption-constraint@sha256:eb3e763254885e27Pin 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_xvmcmrkrts32i3nj)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-06-16 | b2b0cde | 2,702 B | A | view · diff |
| v1.0.0 | 2026-06-15 | af998ae | 2,680 B | A | view · diff |
| v1.0.0 | 2026-06-15 | 7a62936 | 2,076 B | A | view · diff |
| v1.0.0 | 2026-05-19 | dc15fe2 | 1,999 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 (2702 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 · 497 stars · license Apache-2.0 · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_xvmcmrkrts32i3nj GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/assumption-constraint GET https://markdownregistry.com/api/v1/blob/eb3e763254885e271d76e169f25b947afeb8d6ddf0a3d2417475d6a06c2d91b5
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