appropriateness-bounding skillA
appropriateness-bounding is agent-read markdown (skill) from yogsoth-ai/de-anthropocentric-research-engine: Establish acceptability standards through RAND/UCLA Appropriateness Method.
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
# Appropriateness Bounding **Purpose:** Determine what is appropriate, acceptable, or indicated for a given context. Uses the RAND/UCLA Appropriateness Method (rating + discussion + re-rating) or Consensus Conference (citizen jury) format to establish boundaries of acceptability. **When to use:** - Medical guideline development (appropriate indications) - Regulatory standard setting - Establishing acceptable thresholds for action - Any question of the form "is X appropriate when Y?" ## Budget | Parameter | Constraint | |-----------|-----------| | Rounds | 2 (rate → discuss → re-rate) | | Perspectives | ≥4 (ideally 7–15 for RAND/UCLA) | | Rating scale | 1–9 (inappropriate to appropriate) | | Agreement threshold | Median ≥7 without disagreement | ## State Ledger | Key | Type | Description | |-----|------|-------------| | indications | array | List of scenarios to rate | | perspectives | array | Panel member perspectives | | round_1_ratings | array | Initial ratings per indication | | discussion_notes | string | Key points from discussion | | round_2_ratings | array | Post-discussion ratings | | classifications | object | Appropriate/uncertain/inappropriate per item | …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/appropriateness-bounding@git:20260616.b2b0cdemdr add yogsoth-ai/de-anthropocentric-research-engine/appropriateness-bounding@sha256:9d47d1bce3fb7bcePin 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_jtq7kb2muxvxxfkd)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260616.b2b0cde latest | 2026-06-16 | b2b0cde | 3,414 B | A | view · diff |
| git:20260615.48da2e0 | 2026-06-15 | 48da2e0 | 3,392 B | A | view · diff |
| git:20260615.7a62936 | 2026-06-15 | 7a62936 | 2,636 B | A | view · diff |
| git:20260519.dc15fe2 | 2026-05-19 | dc15fe2 | 2,549 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 (3414 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_jtq7kb2muxvxxfkd GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/appropriateness-bounding GET https://markdownregistry.com/api/v1/blob/9d47d1bce3fb7bce552efa730928539682325413d818cd7dd612f0db445472f0
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