adversarial-roleplay skillA
adversarial-roleplay is agent-read markdown (skill) from yogsoth-ai/de-anthropocentric-research-engine: 'Tactic: Construct detailed hostile persona, attack artifact from that.
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
# Adversarial Roleplay Tactic Deploy constructed hostile personas to attack the artifact from distinct motivational frames. ## Orchestration 1. **persona-construction** builds detailed adversary profile: - Background and expertise domain - Motivation for attacking (career incentive, resource competition, ideological) - Known blind spots and biases of this persona type - Preferred attack patterns 2. **attack-vector-generation** generates vectors specific to persona's expertise and motivation 3. **probe-execution** executes attacks while maintaining persona consistency 4. Successful attack paths recorded with persona attribution 5. Process repeats for each persona (budget-limited) 6. **finding-aggregation** cross-references findings across personas for convergent vulnerabilities ## Subagents Dispatched - persona-construction (1 call per persona) - attack-vector-generation (1 call per persona) - probe-execution (N calls per persona, budget-limited) - finding-aggregation (1 call at end, cross-persona) ## Termination Conditions - All budgeted personas deployed and exhausted - Convergent vulnerability found by 2+ personas (high-confidence finding) …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/adversarial-roleplay@git:20260616.b2b0cdemdr add yogsoth-ai/de-anthropocentric-research-engine/adversarial-roleplay@sha256:8476dc8ea602ea1bPin 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_giu7xbx55kg6cw7g)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260616.b2b0cde latest | 2026-06-16 | b2b0cde | 2,468 B | A | view · diff |
| git:20260615.bd8fa91 | 2026-06-15 | bd8fa91 | 2,457 B | A | view · diff |
| git:20260615.7a62936 | 2026-06-15 | 7a62936 | 1,709 B | A | view · diff |
| git:20260519.dc15fe2 | 2026-05-19 | dc15fe2 | 1,607 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 (2468 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_giu7xbx55kg6cw7g GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/adversarial-roleplay GET https://markdownregistry.com/api/v1/blob/8476dc8ea602ea1ba8b8e97dd1ae9ae4af0a245448555bfbb67d72139c96edac
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