attack-resilience-scoring skillA
attack-resilience-scoring is agent-read markdown (skill) from yogsoth-ai/de-anthropocentric-research-engine: Compute overall resilience score (0.0-1.0) based on attack results, coverage,.
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
# Attack Resilience Scoring Computes a quantitative resilience score for the artifact based on red team results. ## Execution Subagent — spawned via subagent-spawning/spawn-agent. ## Why Subagent Scoring requires calibrated judgment independent of attack or defense bias. The scorer must weigh findings objectively against coverage. ## Input - **aggregated_findings**: Deduplicated vulnerability report from finding-aggregation - **coverage_data**: What percentage of threat surfaces were tested, at what depth ## Output - **resilience_score**: 0.0-1.0 overall score - **dimension_scores**: Per-dimension breakdown (logical, empirical, methodological, practical) - **confidence_in_score**: How much to trust the score given coverage gaps - **verdict**: Pass/conditional-pass/fail with justification <!-- 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
mdr add yogsoth-ai/de-anthropocentric-research-engine/attack-resilience-scoring@git:20260616.b2b0cdemdr add yogsoth-ai/de-anthropocentric-research-engine/attack-resilience-scoring@sha256:6c2fee5bb5a4ad5aPin 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_3wz4waczshheydbx)
1 badge views in 30 days
Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260616.b2b0cde latest | 2026-06-16 | b2b0cde | 1,449 B | A | view · diff |
| git:20260615.bd8fa91 | 2026-06-15 | bd8fa91 | 1,438 B | A | view · diff |
| git:20260615.7a62936 | 2026-06-15 | 7a62936 | 1,123 B | A | view · diff |
| git:20260519.dc15fe2 | 2026-05-19 | dc15fe2 | 1,106 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 (1449 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 · 497 stars · license Apache-2.0 · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_3wz4waczshheydbx GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/attack-resilience-scoring GET https://markdownregistry.com/api/v1/blob/6c2fee5bb5a4ad5aa81fc317bec4a3b95ffc4886ae5fa5719f393ef497caa754
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.