Home / yogsoth-ai / de-anthropocentric-research-engine · skills/action-priority-matrix/SKILL.md · GitHub

action-priority-matrix skillA

action-priority-matrix is agent-read markdown (skill) from yogsoth-ai/de-anthropocentric-research-engine: Compute Risk Priority Number (RPN = S x O x D), classify failure modes.

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

# Action Priority Matrix

Computes RPN and classifies failure modes into High/Medium/Low action priority.

## Execution

Subagent — spawned via subagent-spawning/spawn-agent.

## Why Subagent

Priority classification requires mechanical computation followed by judgment on borderline cases. Isolated context ensures consistent application of thresholds.

## Input

- **severity_scores**: S scores for all failure modes
- **occurrence_scores**: O scores for all failure modes
- **detection_scores**: D scores for all failure modes

## Output

- **priority_matrix**: Full table with S, O, D, RPN, and H/M/L classification
- **action_required**: H-priority items requiring mandatory mitigation
- **borderline_cases**: Items near threshold boundaries

<!-- BEGIN available-tables (generated) -->

## Available SOPs

Optional, no fixed order; the final leaf is always a sop.

| SOP | When to use |
| --- | --- |
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. |

<!-- END available-tables (generated) -->

Read the whole file at its exact version.

How to install

Latest version
mdr add yogsoth-ai/de-anthropocentric-research-engine/action-priority-matrix@git:20260616.b2b0cde
Exact content
mdr add yogsoth-ai/de-anthropocentric-research-engine/action-priority-matrix@sha256:9213f4c0e08e3af6

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

versioncommittedcommitsizeaudit
git:20260616.b2b0cde latest2026-06-16 b2b0cde 1,412 BA view · diff
git:20260615.bd8fa912026-06-15 bd8fa91 1,401 BA view · diff
git:20260615.7a629362026-06-15 7a62936 1,086 BA view · diff
git:20260519.dc15fe22026-05-19 dc15fe2 1,078 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 (1412 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 · 498 stars · license Apache-2.0 · pushed 2026-09-17 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_reerc7xxg3zb6ywv
GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/action-priority-matrix
GET https://markdownregistry.com/api/v1/blob/9213f4c0e08e3af631f737848af06629c132e989ea6b948f17b6f0b68010a63f

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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