learning-loop SKILL.md skillA
learning-loop from wan-huiyan/agent-traffic-control is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add wan-huiyan/agent-traffic-control/learning-loop@git:20260912.c635a3aPins git:20260912.c635a3a in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- wan-huiyan/agent-traffic-control
- Path
plugins/agent-traffic-control/skills/learning-loop/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260912.c635a3a, committed Sep 12, 2026
- Size
- 2,970 bytes
- Repository stars
- 3
- License
- MIT
Turn failures and user corrections into tested workflow improvements. Use for lessons and retrospectives.
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
# Learning Loop Improve a decision process after a material failure, user correction or contradictory result. Use across coding, research, design and operations; an ordinary successful task or a spelling fix does not require a retrospective. The outcome can be a narrower rule, a test, a corrected measurement, or retirement of unhelpful guidance. ## Learn from evidence Read [the correction procedure](references/correction-loop.md) for a substantive correction. Preserve what happened and the exact artifact versions. Separate the observed discrepancy from its proposed cause. Reproduce or qualify that cause, find the smallest useful correction, and check both the failure and a legitimate case the correction must still allow. A tabletop review is not a measured improvement in real performance. Put the correction where it belongs: code, data, measurement, a project decision, a skill or memory. Search existing guidance first. Keep one canonical explanation and update its retrieval descriptions and pointers; keywords appearing in a store do not prove the correction changed behavior. Preserve superseded evidence privately instead of erasing the history. …
Read the whole file at its exact version.
How to install
mdr add wan-huiyan/agent-traffic-control/learning-loop@sha256:eea2f0208b3b0838The line at the top of this page pins the label git:20260912.c635a3a, 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_sifrliobqussxofg)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 12, 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 (2970 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
wan-huiyan/agent-traffic-control · 3 stars · license MIT · pushed 2026-09-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_sifrliobqussxofg GET https://markdownregistry.com/api/v1/resolve?ref=wan-huiyan/agent-traffic-control/learning-loop GET https://markdownregistry.com/api/v1/blob/eea2f0208b3b08384b4c9c5d03a14de1ebf8695e1e9787108dcc215ff1b456e6
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.
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