answering-sequence-design skillA
answering-sequence-design is agent-read markdown (skill) from yogsoth-ai/de-anthropocentric-research-engine: SOP: Design the optimal answering order for sub-questions.
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
# Answering Sequence Design Design the optimal answering order for sub-questions — based on dependency relationships and resource efficiency. ## HARD-GATE <HARD-GATE> Input must contain: sub-question list + dependency graph (from dependency-mapping). </HARD-GATE> ## Pipeline 1. **Precondition check**: is the dependency graph acyclic 2. **Topological sort**: determine the basic order based on dependency relationships 3. **Parallel grouping**: identify sub-questions that can proceed simultaneously 4. **Resource optimization**: adjust the order considering resource constraints 5. **Risk ordering**: prioritize high-risk/high-uncertainty items (fail fast) 6. **Final sequence**: determine the optimal sequence by integrating the above factors 7. **Output**: execution sequence + phased plan + parallelization opportunities ## Output Format ``` Phase 1 (parallel): [SQ1, SQ3] — no mutual dependencies Phase 2 (sequential): [SQ2] — depends on SQ1 Phase 3 (parallel): [SQ4, SQ5] — depend on SQ2 Rationale: [why this order is optimal] Risk note: [which sub-questions, if they fail, will affect subsequent ones] ``` </output>
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/answering-sequence-design@v1.0.0mdr add yogsoth-ai/de-anthropocentric-research-engine/answering-sequence-design@sha256:84be00b07a48af72Pin 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_vjlmaqd4oibj3hir)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-06-16 | a52917d | 1,498 B | A | view · diff |
| v1.0.0 | 2026-06-15 | 7a62936 | 1,230 B | A | view · diff |
| v1.0.0 | 2026-05-19 | dc15fe2 | 1,236 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 (1498 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_vjlmaqd4oibj3hir GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/answering-sequence-design GET https://markdownregistry.com/api/v1/blob/84be00b07a48af724b6b2bb712dc59abe3b5a32f762b5d45edcb1e665a5a107d
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