Home / yogsoth-ai / de-anthropocentric-research-engine · skills/ask-intentionality/SKILL.md · GitHub

ask-intentionality skillA

ask-intentionality is agent-read markdown (skill) from yogsoth-ai/de-anthropocentric-research-engine: Deep WHY probing inspired by i* Intentionality modeling. Understand the.

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

# Ask Intentionality

Deep WHY probing (i* Intentionality). Understanding motivation shapes every downstream decision.

## Execution

Dialogue — inline, no subagent.

## What to Ask About

- If user has a stated goal: Why this specific goal? What's driving it?
- Motivation depth: graduation requirement / pure interest / career advancement / impact / combination
- Success definition: What does "done well" look like to you?
- Risk tolerance: safe incremental improvement vs. high-risk high-reward breakthrough
- Innovation preference: improve existing methods vs. create entirely new approaches
- Independence preference: complete solo vs. depend on collaborators
- Time urgency: deadline-driven vs. long-term accumulation
- Learning willingness: use familiar tools/domains vs. learn new ones

## Key Behaviors

- User may decline to answer (privacy). Accept gracefully. Note that downstream work becomes broader and may require more iteration.
- This SOP can be re-invoked by the tactic whenever new WHY questions emerge.
- Don't ask all dimensions at once — probe naturally based on conversation flow.

## Output

Intentionality section of ActorProfile.

Read the whole file at its exact version.

How to install

Latest version
mdr add yogsoth-ai/de-anthropocentric-research-engine/ask-intentionality@git:20260615.7a62936
Exact content
mdr add yogsoth-ai/de-anthropocentric-research-engine/ask-intentionality@sha256:d5f8932596185a88

Pin 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.

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Versions

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git:20260615.7a62936 latest2026-06-15 7a62936 1,544 BA view · diff
git:20260519.dc15fe22026-05-19 dc15fe2 1,538 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (1544 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

GitHub

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_h2axn4riolu5wknk
GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/ask-intentionality
GET https://markdownregistry.com/api/v1/blob/d5f8932596185a8820ead3fd490611bc335730c8991057ab965cfaf5d3e38e38

Your agent 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.

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