llms.txtA
llms.txt from shimo4228/agent-knowledge-cycle is an llms.txt file: plain text a project publishes for AI models to read.
mdr add shimo4228/agent-knowledge-cycle/llms.txt@git:20261010.7155007Pins git:20261010.7155007 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 14 of 14 checks passed
- Kind
- llms.txt file
- Repository
- shimo4228/agent-knowledge-cycle
- Path
llms.txt- Versions recorded
- 6
- Latest version
- git:20261010.7155007, committed Oct 10, 2026
- First version recorded
- Sep 25, 2026
- Size
- 25,526 bytes
- Repository stars
- 5
- License
- MIT
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
# Agent Knowledge Cycle (AKC) > A knowledge cycle for AI agents — agent behavior compounds, human > judgment sharpens. AKC treats human cognitive resources — attention and > judgment — as the central constraint that does not scale with the > model. Every competing framework optimizes the agent side; AKC asks > the inverse question, given that the human in the loop has a fixed > daily budget of attention and judgment. See ADR-0010. > > The cycle's purpose is to keep the agent's behavior aligned with the > operator's evolving intent across sessions, not merely individually > correct on each output. Correctness can be checked by tests; > alignment cannot, because intent itself moves as the operator's > judgment sharpens through use. Pre-implementation dialogue is > front-loaded because misaligned implementation costs more than the > conversation that would have prevented it. > > The cycle changes the human too. As the human curates and promotes > knowledge, their judgment about what makes good agent behavior also > sharpens. AKC is therefore a bidirectional growth loop where agent > behavior and human judgment co-develop, not a one-directional …
Read the whole file at its exact version.
How to install
mdr add shimo4228/agent-knowledge-cycle/llms.txt@sha256:fd04cff2d47006b8The line at the top of this page pins the label git:20261010.7155007, 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_ivffv6sksiqijcrz)
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Versions
The registry has recorded 6 versions of this file, between Sep 25, 2026 and Oct 10, 2026, about one every 3 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261010.7155007 latest | 2026-10-10 | 7155007 | 25,526 B | A | view · diff |
| git:20261008.4420cf5 | 2026-10-08 | 4420cf5 | 24,698 B | A | view · diff |
| git:20261008.faa42b0 | 2026-10-08 | faa42b0 | 24,500 B | A | view · diff |
| git:20261008.d0e527b | 2026-10-08 | d0e527b | 24,201 B | A | view · diff |
| git:20260925.f43f46e | 2026-09-25 | f43f46e | 23,995 B | A | view · diff |
| git:20260925.fc53c1e | 2026-09-25 | fc53c1e | 24,252 B | A | view |
Audit of the latest version
- pass: Size between 200 bytes and 200 KB (25526 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
shimo4228/agent-knowledge-cycle · 5 stars · license MIT · pushed 2026-10-12 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ivffv6sksiqijcrz GET https://markdownregistry.com/api/v1/resolve?ref=shimo4228/agent-knowledge-cycle/llms.txt GET https://markdownregistry.com/api/v1/blob/fd04cff2d47006b80b2c703f80fea3edb8ca251ca9f7af6384394447db7d98a9
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: how to add an llms.txt file to a website · which agent file does what.
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