kibsu-lab
AGENTS.md0 starsChanged 31 days agoMITView on GitHub
You're a fresh agent in kibsu-lab -- a public, cloneable virtual workspace for one fictional distribution company, Tuppi Trading Co. This file is thin on purpose: it points, it doesn't restate. Read in this order. Run python -m kibsu discover . -- it checks what this repo actually has wired (CI, git hooks, agent hooks, tests, and whether the gates these docs mandate are invoked by any real automation) against what these docs merely claim. Do this before anything else…
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,774 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository6 other files it gives its agents.
- architectSkill
- change-logSkill
- gateSkill
- plannerSkill
- strategistSkill
- thinking-partnerSkill
The file
We split this AGENTS.md into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 14
Run python -m kibsu discover .
- Distinctive: line 41
Run the verifier before and after your change -- it will exit non-zero on a pristine repo by design.
- Very specific: line 61
Every tool in this repo (tools/reconcile.py, tools/sales_report.py, tools/check_task.py) generates data/ itself with the default seed if …
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
AGENTS.md
You're a fresh agent in kibsu-lab -- a public, cloneable virtual workspace for one fictional distribution company, Tuppi Trading Co. This file is thin on purpose: it points, it doesn't restate. Read in this order.
0. On arrival
Run python -m kibsu discover . -- it checks what this repo actually has wired (CI, git
hooks, agent hooks, tests, and whether the gates these docs mandate are invoked by any real
automation) against what these docs merely claim. Do this before anything else below; a
declared-but-dead gate reads as coverage from the outside, and this is the fastest way to
find out whether that's true right now.
1. How to think here
skills/thinking-partner/SKILL.md -- judgment, not procedure. Read it before you act on
anything ambiguous. skills/strategist/SKILL.md -- how to choose between approaches:
name the real hurdle first, then recommend rather than list. Neither names a command to
run; both score near zero on checkability by design.
2. What is true right now
docs/STATE.md -- one row per track (DATA / REPORTING / RECONCILIATION / TASKS),
each with a Next action. This is the current state; it is not history.
3. What has already happened
docs/CHANGELOG.md -- newest entry first. docs/memory/learnings/ -- reusable
lessons from past fixes; read before you re-derive something that's already known.
4. What you can be asked to do
tasks/ -- three machine-checkable tasks (T1_add_kpi.md, T2_fix_reconciliation.md,
T3_resume_the_work.md). Each names its own verifier under tools/check_task.py.
Run the verifier before and after your change -- it will exit non-zero on a
pristine repo by design; that is the starting state, not a broken checker.
5. How work gets logged and gated
skills/change-log/SKILL.md (what to write, where, when you finish something) and
skills/gate/SKILL.md (what needs a green check before you commit). For anything
spanning 3+ steps, skills/planner/SKILL.md. Adding, moving, or renaming a file:
skills/architect/SKILL.md -- what every file must declare, where it belongs, and the
commands that prove it.
6. The data
data/ does not exist until you generate it -- it is gitignored on purpose; the
shipped artifact is the generator, never its output:
python tools/generate_data.pyEvery tool in this repo (tools/reconcile.py, tools/sales_report.py,
tools/check_task.py) generates data/ itself with the default seed if it's
missing, so you never have to run this by hand first -- but running it explicitly
is fine too.
7. Tooling config
.kibsu.json -- docs root, skills dir, and the commit gate wired to
tools/reconcile.py. This repo depends on the kibsu package (PyPI) to read its
own governance; see README.md for the version pin.
README.md publishes what kibsu prints here, and python tools/check_baseline.py proves
it still does (exit 0 = the page is right, 1 = it is not, 2 = could not run). Adding a
document or editing a skill moves those numbers. git add your files first -- the tool
counts only what git knows -- then run it, and re-capture the block if it fails.
Provenance
PROVENANCE.md -- every name, company, and row of data here is fictional and
generated, never committed, never sourced from anything real.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

