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/kev-knowledge

@2074cc4
by Jared Palmerjaredpalmer/kev9.8k stars
670
Run it yourself

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.

Use this Skill: https://skilld.dev/gh/jaredpalmer/kev/kev-knowledge

Nothing lands on disk. Nothing to clean up.

Fork this Skill

Edit a local copy. It keeps the author and licence.

SKILL.md

≈111 tokens for metadata: the name and description. ≈1.2k when used: this file.

Description uses 5.6% of example budget

Before choosing a Skill, your Agent reads its name and description. All available Skills share that space.

  • A shorter description leaves more room for other Skills. This entry exceeds our 1% size suggestion.

In our Claude Code example, all Skill names and descriptions share 8,000 characters. This Skill uses ≈446 characters, or 5.6%.

The 1% threshold is a size suggestion. Longer descriptions can still fit.

Your model, settings, and other Skills decide how much text your Agent can read.

Example settings and source

The example uses a 200k-token context and default Claude Code settings. The count includes the name, description, separators, and when_to_use when present. Codex also counts local file paths.

Skit's source and limits: Codex 0.160.1, Claude Code 2.1.292.

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.

Source: SKILL.md on GitHub

skilld matched fixed text patterns in SKILL.md and file names. Patterns miss obfuscated code.

skilld run checks every file with the same patterns. It asks for approval before it loads a Skill with a behavior marked Needs approval.

1 warning13d3 checks · Risk MEDIUM
  • Gen Agent Trust Hub13d

    This skill enables searching a private knowledge repository. It suggests an optional installation of a third-party package with script execution enabled and processes external data which could potentially lead to indirect prompt injection.

  • Socket13d

    No alerts

  • Snyk13d

    Risk: LOW · No issues

Signed by skilld at 2074cc4. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 weeks ago.

Activeupdated last month
What it can do
Reads files
All 4 allowed tools
readgrepglobexec
Other metadata
permissions
{
  "allow": [
    "Exec(gh repo clone jaredpalmer/kev-knowledge)",
    "Exec(rg)",
    "Exec(qmd)",
    "Read(/tmp/kev-knowledge/**)",
    "Read(~/dev/kev-knowledge/**)"
  ]
}

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