setup

A setup skill for Wenlan, a local knowledge-base service used by coding agents. It checks whether Wenlan is running, repairs or installs its local runtime when needed, and verifies the connection between the plugin and runtime.

In plain words
What is it for?
Use it when setting up Wenlan, checking whether it works, fixing it, or detecting a version mismatch between its plugin and local service.
Why use it?
It removes the manual work of diagnosing a missing, broken, or mismatched Wenlan installation. The basic setup uses local memory without requiring a model or API key.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/7xuanlu/wenlan/setup
Any agent
npx skills add 7xuanlu/wenlan --skill setup
Clone the repo
git clone --depth 1 https://github.com/7xuanlu/wenlan

Made for: Claude Code, Codex.

Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,794 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00059 $0.01794
Opus 5 $0.00030 $0.00897
Sonnet 5 $0.00012 $0.00359
Haiku 4.5 $0.00006 $0.00179

Measured 2d ago against content hash 7e4512da4568, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

setup scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

curl -fsSL https://raw.githubusercontent.com/7xuanlu/wenlan/v${RELEASE_VER}/install.sh | bash

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -fsS -m 3 http://127.0.0.1:7878/api/health && break
plugin-codex/skills/setup/SKILL.md · 204 lines

How it starts

The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/setup

Self-healing setup for Codex. Default backend is local memory: no local model, no API key, no prompt ceremony. Local model and Anthropic key are optional upgrades after the basic path works.

Steps

Run in order. Stop and report at the first failure that needs human attention. Otherwise, push through automatically.

1. Health probe

for i in 1 2 3; do
  curl -fsS -m 3 http://127.0.0.1:7878/api/health && break
  sleep 1
done
  • 200 OK: continue to version drift probe.
  • Anything else: continue to bootstrap.

2. Version drift probe

Compare daemon version vs plugin manifest version:

PLUGIN_JSON="${CODEX_PLUGIN_ROOT:-plugin-codex}/.codex-plugin/plugin.json"
[ -r "$PLUGIN_JSON" ] || PLUGIN_JSON=".codex-plugin/plugin.json"
if command -v python3 >/dev/null 2>&1 && [ -r "$PLUGIN_JSON" ]; then
  RESP="$(curl -fsS -m 3 http://127.0.0.1:7878/api/health)"
  DAEMON_VER="$(printf '%s' "$RESP" | python3 -c 'import json,sys; print(json.load(sys.stdin).get("version",""))')"
  EXPECTED_VER="$(python3 -c 'import json,sys; print(json.load(open(sys.argv[1])).get("version",""))' "$PLUGIN_JSON")"
  RELEASE_VER="${EXPECTED_VER%%+*}"
  printf 'daemon=%s expected=%s release=%s\n' "$DAEMON_VER" "$EXPECTED_VER" "$RELEASE_VER"
else
  echo "version_check=skipped"
fi
  • Same version: continue to doctor.
  • If the probe cannot run because the runtime is down: continue to bootstrap.
  • If PLUGIN_JSON is unreadable or python3 is missing: continue to doctor; Codex will keep using this slice until the plugin cache is updated.
  • If mismatch, check the direction before repairing. Compare the release part of daemon= (strip the +g<sha> suffix) against release=, numeric per component, not lexicographic. Daemon release equal or newer → the plugin cache is stale, not the runtime: skip the repair below (it would only reinstall the same-or-latest runtime and restart a healthy daemon) and go straight to the stop message in step 4 — update the plugin, restart, rerun.
  • Only if the daemon release is older than the plugin release, repair the runtime:

Read the full file on GitHub · 204 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago Changed 7e4512da4568
  2. 2d ago First seen · 204 lines · 59 tokens per session scan C 2a3257e44457

Subscribe to this mod's changes

setup is a skill published in the GitHub repository 7xuanlu/wenlan (60 stars, last pushed 2d ago), licensed Apache-2.0. It adds 59 tokens to every session and 1,794 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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