design-falsification-test SKILL.md skillA
design-falsification-test 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.
mdr add yogsoth-ai/de-anthropocentric-research-engine/design-falsification-test@git:20260923.cbc38aaPins 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/design-falsification-test/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260923.cbc38aa, committed Sep 23, 2026
- Size
- 1,385 bytes
- Repository stars
- 508
- License
- Apache-2.0
Specify a concrete observation, computation, intervention, counterexample, or measurement that would count against the sharpened claim, prioritizing cheap high-information tests.
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
# design-falsification-test ## Purpose Specify a concrete observation, computation, intervention, counterexample, or measurement that could count against a claim. ## Input contract ```yaml required: [sharp_claim, scope, candidate_observables] optional: [cost, available_tools, competing_predictions] constraints: [test must identify a failure condition and measurement rule] ``` ## Procedure 1. Enumerate claim commitments and possible failure observations. 2. Rank tests by information value and cost. 3. Specify the cheapest decisive test with pass/fail interpretation. If the falsification test has an executable intervention and verdict rule, consider `execute-probe` as the next tactic. ## Output contract ```yaml produces: [falsification_test, failure_condition, measurement_plan, priority_rationale] delta_fields: [findings, evidence_updates, uncertainties, decisions] ``` ## Quality gates - Test must be capable of producing evidence against the claim, not only confirming examples. ## Failure and counterexamples Do not design a test whose acceptance criterion is copied from the claim. ## Provenance map - resolved: red-team-truthseeking
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/design-falsification-test@sha256:04141ff21b78213aThe 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.
[](https://markdownregistry.com/a/art_23kzlxeq7zrbjme2)
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.
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 (1385 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 · 508 stars · license Apache-2.0 · pushed 2026-10-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_23kzlxeq7zrbjme2 GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/design-falsification-test GET https://markdownregistry.com/api/v1/blob/04141ff21b78213a1c1c12f7219063f1205edec8c120f2b753e6f5248fd24972
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.