detect-feedback-loop SKILL.md skillA
detect-feedback-loop 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/detect-feedback-loop@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/detect-feedback-loop/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260923.cbc38aa, committed Sep 23, 2026
- Size
- 1,441 bytes
- Repository stars
- 508
- License
- Apache-2.0
Detect and characterize reinforcing/balancing feedback loops, participating variables, delays, and possible breakpoints.
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
# detect-feedback-loop ## Purpose Detect reinforcing or balancing feedback loops in a causal or process structure and state the evidence for each loop. ## Input contract ```yaml required: [causal_graph, node_semantics, edge_polarity] optional: [time_delays, observed_series, intervention_records] constraints: [loop classification requires directed edges and polarity or transition evidence] ``` ## Procedure 1. Normalize directed relations, polarity, and delays. 2. Enumerate simple cycles and identify reinforcing or balancing sign patterns. 3. Compare loops with observations or intervention evidence where available. 4. Report loop boundaries, uncertain edges, and testable implications. ## Output contract ```yaml produces: [feedback_loops, loop_classification, supporting_evidence, uncertain_edges, testable_implications] delta_fields: [findings, evidence_updates, uncertainties, recommended_jumps] ``` ## Quality gates - Every loop lists its ordered edges and polarity basis. - Correlational cycles are not presented as causal loops without qualification. ## Failure and counterexamples …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/detect-feedback-loop@sha256:f6836655042b7efeThe 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_j2eg2jnqsdk367uo)
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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 (1441 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_j2eg2jnqsdk367uo GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/detect-feedback-loop GET https://markdownregistry.com/api/v1/blob/f6836655042b7efe76ce0e10b3409d7f15d2a9e7e49e52d5980e8efdef42c5d5
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.