kev-knowledge
GitHub用于查询Kev知识图谱,检索历史会话决策、规则背景及实验结果,避免重复推导。支持通过rg或qmd进行语义与关键词搜索,覆盖架构、训练等主题笔记及PR索引,辅助研究、发布和数据任务前的信息获取。
Trigger Scenarios
Install
npx skills add jaredpalmer/kev --skill kev-knowledge -g -y
SKILL.md
Frontmatter
{
"name": "kev-knowledge",
"description": "Search the Kev knowledge graph (private repo jaredpalmer\/kev-knowledge) before re-deriving history. Use when asked what was tried, decided, measured or learned in earlier Kev sessions, why a rule or number exists, what a round or PR did, or when starting a research, serving, release or data task that earlier sessions may have covered. Also covers how the graph is refreshed (nightly Devin Cloud automation) and how to add to it.",
"permissions": {
"allow": [
"Exec(gh repo clone jaredpalmer\/kev-knowledge)",
"Exec(rg)",
"Exec(qmd)",
"Read(\/tmp\/kev-knowledge\/**)",
"Read(~\/dev\/kev-knowledge\/**)"
]
},
"allowed-tools": [
"read",
"grep",
"glob",
"exec"
]
}
Kev knowledge graph
Every Devin session on this repo since 17 Sep 2026 is distilled into the private repo
jaredpalmer/kev-knowledge: hand-written topic notes (what we know), one note per session (what happened), a
day-by-day timeline, PR and issue indexes with back-links, and the extracted transcripts (digest/). A nightly Devin
Cloud automation reads new sessions through the Devin API and writes the notes (automation/nightly.md there). Use it
instead of re-deriving history from git or guessing why a rule exists. It is a separate private repo on purpose:
transcripts hold private names and verbatim conversation; never copy digest/ text into this repo or any public
surface.
When to look
- "Did we try X?", "why is Y the rule?", "what did round N find?", "what did PR #N change and why?", "what did Jared decide about Z?": search first, then cite the note.
- Before planning a round, a serving change, a data family, a release or a benchmark: read the matching topic note.
- When AGENTS.md or PLAN.md states a rule without the incident behind it, the topic notes have the incident.
Get it
[ -d /tmp/kev-knowledge ] || gh repo clone jaredpalmer/kev-knowledge /tmp/kev-knowledge # or ~/dev/kev-knowledge on Jared's Mac
git -C /tmp/kev-knowledge pull --ff-only -q
If the clone is refused, the session has no access to the private repo: say so and fall back to PLAN.md, the git log
and research-archive-2026-09-24; do not guess at what the graph would have said.
Search it
rg always works and is enough for most questions; qmd adds semantic search if it is installed.
K=/tmp/kev-knowledge
cat $K/index.md # the map: topics with session counts, sessions by date
rg -n -i "<term>" $K/topics $K/sessions # identifiers, PR numbers, flags, suite names
rg -n -i "<term>" $K/timeline.md $K/prs.md # when, and which sessions touched a PR
rg -n -i "<exact phrase>" $K/digest # quotes from transcripts (long files; read with sed -n 'a,bp')
# optional: npm install -g --allow-scripts=node-llama-cpp @tobilu/qmd (models download on first use)
cd $K && qmd update && qmd embed -c kev # the checked-in .qmd/index.yml builds a project-local index; no trust prompt
qmd search "<keywords>" -c kev -n 8 # BM25, instant
qmd vsearch "<question>" -c kev -n 8 # semantic, seconds
qmd query "<question>" -c kev -n 8 # hybrid + LLM rerank, best quality, slow on CPU
qmd get "kev/topics/<slug>.md"
qmd search "<phrase>" -c kev-transcripts -n 5 # transcripts are excluded from default search
Read order: topics/ (distilled, trustworthy) -> sessions/<id>.md (what happened, the exact asks and outcomes)
-> digest/<id>.md (transcript, for quotes).
Map
| file | use |
|---|---|
index.md, timeline.md |
hub; the story since 17 Sep 2026 with open threads |
topics/architecture.md, training-recipe.md, full-weight-sft.md, calibration.md |
the model and how it is trained; what moved the needle |
topics/evaluation-suites.md, research-rounds.md, autoresearch-program.md |
suites, gates, the audit that removed scienthoon/wanli/typesafe; every round's verdict; the standing rules |
topics/serving-performance.md, deployment-paths.md, long-context.md, modal-infrastructure.md |
CUDA graphs, batching, fused kernels, MLX, the vLLM decision, 64k states, GPUs and spend |
topics/releases.md, docs-and-writing.md, data-and-synthetic.md, competitors.md, base-models.md |
what shipped when; README/card rules; data policy and teachers; Jev/AutoJev/Clef; Qwen -> Gemma/Inkling |
topics/skills-and-workflow.md, code-quality.md |
worktrees, subagents, the thermonuclear standard |
sessions/warm-lute.md |
the nine-day CLI session that ran rounds 4-29 and every 27B release |
sessions/cloud-<12 hex>.md |
Devin Cloud sessions; each links its app.devin.ai URL |
prs.md, issues.md |
every PR/issue -> the sessions that discussed it (prs.md#pr-<n>) |
Citing
Name the note path (kev-knowledge/topics/calibration.md) or the session id. Numbers in the notes were written by
hand from transcripts; for a published number prefer docs/claims.json, PLAN.md or the model card here, and say
which you used.
Adding to it
The nightly automation picks up every Devin Cloud session on its own; nothing to do for normal work. To record
something immediately, or to add a lesson the automation would not infer, open a PR on jaredpalmer/kev-knowledge
editing tools/session_notes.py or topics/*.md, run python3 tools/build_graph.py there, and never edit the
generated files (sessions/*.md, index.md, prs.md, issues.md) by hand. The procedure the automation follows,
and the by-hand refresh (tools/extract_cloud_sessions.py, needs DEVIN_API_KEY), are in that repo's README and
automation/nightly.md.
Version History
- 1f04cfa Current 2026-10-18 16:08


