assess-evidence-saturation SKILL.md skillA
assess-evidence-saturation 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/assess-evidence-saturation@git:20260929.d26af9dPins git:20260929.d26af9d 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/assess-evidence-saturation/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260929.d26af9d, committed Sep 29, 2026
- First version recorded
- Sep 23, 2026
- Size
- 1,899 bytes
- Repository stars
- 508
- License
- Apache-2.0
Estimate marginal information gain of new evidence batches relative to the current corpus and classify continuing/near-saturation/saturated.
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
# assess-evidence-saturation ## Purpose Compare the marginal information gain of a new evidence batch with the comparable prior batch and classify acquisition as continuing, near-saturation, or saturated. ## Input contract ```yaml required: [current_corpus, prior_comparable_batch, novelty_schema] optional: [topic_schema, quality_weights, stopping_policy] constraints: [batches must share a declared universe and comparable novelty calculation] ``` ## Procedure 1. Declare the eligible evidence universe, novelty dimensions, and current/prior batch boundaries. 2. Compute new topic, independent-source, condition, or mechanism coverage for each comparable batch. 3. Compare marginal information gain and record the evidence supporting the comparison. 4. Classify continuing, near-saturation, or saturated and state the stopping rationale. ## Output contract ```yaml produces: [declared_universe, batch_comparison, marginal_gain, saturation_state, stopping_rationale] delta_fields: [findings, evidence_updates, uncertainties, decisions, open_questions] ``` ## Quality gates - Numerator, denominator, batch increment, source references, direction, and rationale are reproducible. …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/assess-evidence-saturation@sha256:9a8e0d29b330afb7The line at the top of this page pins the label git:20260929.d26af9d, 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_mirme3l7jyuxz7l7)
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Versions
The registry has recorded 2 versions of this file, between Sep 23, 2026 and Sep 29, 2026, about one every 6 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260929.d26af9d latest | 2026-09-29 | d26af9d | 1,899 B | A | view · diff |
| git:20260923.cbc38aa | 2026-09-23 | cbc38aa | 1,752 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 (1899 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_mirme3l7jyuxz7l7 GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/assess-evidence-saturation GET https://markdownregistry.com/api/v1/blob/9a8e0d29b330afb7597e03a473d6999487a73495f6821ddd77a4baa284e42ee2
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.