wiki-knowledge-agent
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Bu listing icin henuz AI raporu yok.
Turn chat-pasted text/links into a verified, translated, searchable wiki knowledge base. Ad-detection, translate+summarize, local-first alerts, RAG-ready. Platform-independent AI skill (Hermes/Claude/Codex/Cursor), zero dependencies.
Wiki Knowledge Agent
Turn chat-pasted text/links into a verified, translated, searchable wiki knowledge base. Works on any agent platform (Hermes, Claude Code, Codex, Cursor) with zero external dependencies — just curl + Python stdlib.
- 🔎 Verify links on arrival (HTTP status, redirects) and classify content
- 📢 Ad detection — labels pure ads vs. genuinely useful info (no auto-deletion, provenance kept)
- 🌐 Translate + summarize into your language (default: the user's native language)
- 🗂️ Save to a wiki inbox with structured metadata
- 🔔 Local-first alerts — time-sensitive info (security, expiry, project risk) is queued locally and reported in chat; optional webhook/email/ntfy if you add them later
- 📚 RAG-ready — agents search the wiki as a knowledge channel, with an auto-maintained topic→file map
Why
Many people paste links/text into chat and expect the AI to remember them. Agents forget; wikis don't. This skill gives agents a repeatable procedure for capturing, judging, translating, storing, and surfacing knowledge — on any platform, with no SaaS account required.
Requirements
- Python 3.9+
curl(for link verification)- A model that can follow the SKILL.md instructions (any capable LLM agent)
Optional: pyyaml for config read/write (falls back to a minimal parser/writer without it).
Quickstart
# 1. Clone / copy this repo into your agent's skills directory
# (or load SKILL.md into your agent's skill folder)
# 2. Run onboarding to create the config
python3 scripts/onboarding.py
Install per agent (skill folder locations)
| Agent | Install location | Notes |
|---|---|---|
| Claude Code | ~/.claude/skills/wiki-knowledge-agent/ |
Auto-detected on session start |
| Hermes | ~/.hermes/profiles/<profile>/skills/note-taking/wiki-knowledge-agent/ |
Recognized from the next session |
| Codex CLI | Add a rule to your AGENTS.md pointing at the skill, plus copy the folder under ~/.codex/ |
Codex may not auto-scan skill folders — reference it in AGENTS.md |
| Cursor | ~/.cursor/skills/wiki-knowledge-agent/ (or project .cursor/rules) |
Check your Cursor version's skill folder path |
Example install for Claude Code:
git clone https://github.com/atukunare/wiki-knowledge-agent.git
mkdir -p ~/.claude/skills/wiki-knowledge-agent
cp -R wiki-knowledge-agent/SKILL.md wiki-knowledge-agent/scripts \
wiki-knowledge-agent/references wiki-knowledge-agent/templates \
~/.claude/skills/wiki-knowledge-agent/
Troubleshooting — "the agent says it doesn't have this skill"
- Hermes / Claude Code / Cursor: verify the SKILL.md is inside the correct skills folder (paths above). Skills are usually scanned at session start — restart the session after installing.
- Codex CLI: it does not auto-scan skill folders in all versions. Add a line to
AGENTS.md:## Wiki saves Use the wiki-knowledge-agent skill at ~/.codex/skills/wiki-knowledge-agent/SKILL.md when the user asks to save/archive a link or text. - Still not found? Check the folder name matches the skill name (
wiki-knowledge-agent), and thatSKILL.mdsits directly in that folder (not nested). Then re-run onboarding (python3 scripts/onboarding.py) and confirm~/.config/wiki-knowledge-agent/config.yamlexists. - The scripts themselves don't need the agent to find them — you can also call
python3 scripts/ingest.py --verify <url>directly from a terminal; only the classification/translation step requires an LLM that has read SKILL.md.
Onboarding asks:
- Wiki root path → default
~/wiki - Input channels →
any, or a specific list (discord/slack/…); if you pick nothing, the current chat becomes the default — but content pasted into other channels is still judged and saved - Target language → default
ko(change to your native language) - Alert channel → optional webhook/email; without one, alerts go to the local queue + current chat. Add alerts later anytime: just tell the model "알림 채널 추가해줘" — it updates the config.
Usage
Ingest (when content arrives in chat)
The model follows SKILL.md: verify → classify → translate/summarize → save → maybe alert.
Script helpers:
# Verify a URL
python3 scripts/ingest.py --verify "https://example.com/article"
# ✅ 200 → https://example.com/article
# Save a prepared note
python3 scripts/ingest.py --save /tmp/note.md \
--source-url "https://..." --channel discord --classification useful --language ko
# ✅ 인박스: ~/wiki/knowledge/inbox/2026-08-26-example.md
# Alert queue
python3 scripts/ingest.py --notify "API key expiring 2026-09-01" --category account_expiry
python3 scripts/ingest.py --alerts # read
python3 scripts/ingest.py --alerts --clear # archive
Storage layout (under wiki_root)
<wiki_root>/
├── knowledge/
│ ├── inbox/YYYY-MM-DD-<topic>.md ← collected notes (distilled, not verbatim)
│ └── <topic>.md ← integrated knowledge
├── alerts/
│ ├── notifications.md ← Tier-0 alert queue
│ └── archive/ ← cleared alerts
└── knowledge-base-map.md ← RAG inventory (topic → file)
RAG (agents using the wiki as a knowledge channel)
- Search:
search_files(pattern=..., path=<wiki_root>/knowledge) - Fast mapping: read
knowledge-base-map.md - Optional weekly cron: verify inbox → merge into
knowledge/<topic>.md→ archive processed files
Configuration
~/.config/wiki-knowledge-agent/config.yaml (override with WIKI_AGENT_CONFIG).
Full reference: templates/config.example.yaml
wiki_root: "~/wiki"
target_language: "ko"
translate: true
input:
sources: ["any"] # or ["discord", "slack", ...]
default_channel: "current"
notify:
tier0: true # always on
webhook: "" # optional
email: "" # optional
ntfy_topic: "" # optional
alert_on:
security: true
account_expiry: true
project_risk: true
interest: false
Docs
- SKILL.md — the agent-facing procedure (load this into your agent)
- references/ad-detection.md — ad-vs-useful classification guide with worked examples
- templates/config.example.yaml — full config reference
License
MIT
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