evaluate-scenario-impact SKILL.md skillA
evaluate-scenario-impact from yogsoth-ai/de-anthropocentric-research-engine is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add yogsoth-ai/de-anthropocentric-research-engine/evaluate-scenario-impact@git:20260923.cbc38aaPins git:20260923.cbc38aa in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- yogsoth-ai/de-anthropocentric-research-engine
- Path
skills/evaluate-scenario-impact/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260923.cbc38aa, committed Sep 23, 2026
- Size
- 1,857 bytes
- Repository stars
- 508
- License
- Apache-2.0
Evaluate a fixed candidate, research path, or portfolio under one explicit scenario using stable criteria and return impact, tradeoffs, and failure triggers.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# evaluate-scenario-impact ## Purpose Evaluate one fixed candidate, path, or portfolio under one explicit scenario. ## Input contract ```yaml required: [candidate, scenario, evaluation_criteria] optional: [baseline, metric_definitions, vulnerability_rules] constraints: [criteria, units, and scenario assumptions remain fixed during evaluation] ``` ## Procedure 1. Instantiate the candidate under scenario assumptions. 2. Compute or qualitatively assess each declared criterion. 3. Identify tradeoffs, vulnerabilities, and failure triggers. 4. Return impact evidence and unresolved uncertainties. If the impact estimate depends on uncertain drivers or parameter choices, consider `assess-sensitivity` as the next tactic. ## Output contract ```yaml produces: [impact_assessment, metric_results, tradeoffs, vulnerabilities, failure_triggers] delta_fields: [findings, uncertainties, decisions] ``` ## Quality gates - All declared criteria are addressed with units or explicit qualitative scales. - Vulnerable or failing members are named, not hidden in aggregate scores. - Scenario assumptions and baseline are cited for every comparison. ## Parameterization …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/evaluate-scenario-impact@sha256:9c47a774e4e3f98fThe line at the top of this page pins the label git:20260923.cbc38aa, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_bpkwb5zivp7nmsus)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 23, 2026.
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 (1857 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 · 508 stars · license Apache-2.0 · pushed 2026-10-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_bpkwb5zivp7nmsus GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/evaluate-scenario-impact GET https://markdownregistry.com/api/v1/blob/9c47a774e4e3f98f3984eb164d2547aefa3a14defd1dca0908da084891aed92c
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.