map-productive-polarity SKILL.md skillA

map-productive-polarity 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.

Install it, pinned
mdr add yogsoth-ai/de-anthropocentric-research-engine/map-productive-polarity@git:20260923.cbc38aa

Pins 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/map-productive-polarity/SKILL.md
Versions recorded
1
Latest version
git:20260923.cbc38aa, committed Sep 23, 2026
Size
1,485 bytes
Repository stars
508
License
Apache-2.0

Map a persistent two-pole tension where both poles contain value: upsides/downsides of over-focusing each pole, warning signs, and practices that manage the polarity rather than falsely resolving it.

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

# map-productive-polarity
## Purpose
Map a persistent two-pole tension where both poles contain value and require managed balance.
## Input contract
```yaml
required: [polarity_statement, pole_a, pole_b]
optional: [stakeholder_views, warning_signs, current_practices]
constraints: [each pole must have a valued upside and a harmful overuse pattern]
```
## Procedure
1. State the upside and downside of over-focusing each pole.
2. Identify warning signs that the system has over-corrected toward either pole.
3. Map practices that manage the polarity without falsely resolving it.

If the polarity map reveals a tension sustained by implicit premises, consider `surface-assumptions` as the next tactic.

## Output contract
```yaml
produces: [polarity_map, upside_downside_register, warning_signs, management_practices]
delta_fields: [findings, assumption_updates, uncertainties, decisions]
```
## Quality gates
- Both poles remain legitimate; management practices are conditional and observable.
## Failure and counterexamples
Reject a polarity map that treats one pole as the correct answer or collapses tension into a compromise slogan.
## Provenance map
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add yogsoth-ai/de-anthropocentric-research-engine/map-productive-polarity@sha256:6f2e4f10021ca690

The 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_eop752e4uab4ll5p.svg)](https://markdownregistry.com/a/art_eop752e4uab4ll5p)

3 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.

versioncommittedcommitsizeaudit
git:20260923.cbc38aa latest2026-09-23 cbc38aa 1,485 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the 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 (1485 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 · 508 stars · license Apache-2.0 · pushed 2026-10-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_eop752e4uab4ll5p
GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/map-productive-polarity
GET https://markdownregistry.com/api/v1/blob/6f2e4f10021ca6900bca83f5b3280b0a294b53f0a5febb6fa009ea9cbb9a6b1f

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.

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