Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKInpx agentmods add skills/appleweiping/weiping_wiki/vipin-wikiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/appleweiping/weiping_wiki/vipin-wiki)<a href="https://agentmods.dev/skills/appleweiping/weiping_wiki/vipin-wiki"><img src="https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/vipin-wiki/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/appleweiping/weiping_wiki/vipin-wiki"><img src="https://agentmods.dev/badge/skills/appleweiping/weiping_wiki/vipin-wiki.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00187 | $0.00985 |
| Opus 5 | $0.00093 | $0.00492 |
| Sonnet 5 | $0.00037 | $0.00197 |
| Haiku 4.5 | $0.00019 | $0.00098 |
Grade A, and why
weiping-wiki scanned grade A with 0 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 10d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
WEIPING_WIKI Adapter
Read AGENTS.md first. This adapter makes Claude Code and OpenCode follow the same WEIPING_WIKI workflow as Codex. Treat vipin wiki, vipinknowledge, and vipin-wiki as historical aliases.
Start Here
- Check
git status --short --branch. - Read
wiki/concepts/whole-computer-project-map.mdbefore whole-computer or local project routing. - Read
wiki/concepts/d-drive-project-map.md,wiki/topics/local-active-project-roots.md, andwiki/topics/local-project-roots.mdwhen D-drive or active project roots are involved. - Use
python scripts/wiki.py search "<query>",wiki/index.md, andwiki/catalog.jsonfor retrieval. - Use agentmemory for active recall/signals when available.
- For actual file moves, use
D:\agent-resources\skills\vipin\workstation-maintenanceto generate the manifest, full-plan or exact-batch preflight, approval packet, type-grouped age-gated move plan, approved batch, and rollback artifacts. For D-root directory organization, use the same shared skill's drive-root plan/invoke scripts so old paths remain junction-compatible. Broad user approval can cover all currently passing low-risk batches. - For deep agentic-constellation maintenance, read [[weiping-agentic-project-constellation]] and keep links public-safe, artifact-based, and low-coupling.
Canonical Commands
python scripts/wiki.py maintain --scope whole-computer --json
python scripts/wiki.py context L1 --query "whole-computer maintenance"
python scripts/wiki.py catalog
python scripts/wiki.py lint
python scripts/wiki.py health --json
python scripts/wiki.py crystallize --title "..." --type query --from-file notes.md
python scripts/wiki.py lifecycle --json
python scripts/wiki.py graph neighbors llm-wiki --depth 1
python scripts/wiki.py search "<query>" --graph --semantic
python scripts/wiki.py scrub raw/inbox/<new-source>
powershell .\scripts\Test-PrePushSafety.ps1
Modes
- Query from maintained wiki pages first; crystallize reusable answers.
- Ingest sources into source notes and propagate durable facts.
- Maintain old pages by comparing them with live evidence and current operating rules.
- Map the whole computer shallowly, deep-reading only important roots.
- Maintain tight routes among WEIPING_WIKI, devtools, AGENT_RESOURCE, AGENTIC_SCIENCE/UUPF, WEIPING_LAB, and WEIPING_COUNCIL without making repositories depend on one another's private state.
- Delegate physical C:/D:/G: organization to the shared workstation-maintenance skill; update public-safe wiki maps after dry-run evidence or actual state changes, including D-root move-with-junction results.
- Maintain Obsidian-compatible vault artifacts (
.obsidian/,.base,.canvas, commands, templates, dashboard, workspaces, slides, andwiki.py obsidian ...) when the task asks for Obsidian-style knowledge-system upgrades. - Upgrade the skill/workflow when a future agent would otherwise need a fresh prompt.
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.
- 10d ago First seen · 51 lines · 187 tokens per session scan A 1b8ace1db423
weiping-wiki is a skill published in the GitHub repository appleweiping/WEIPING_WIKI (122 stars, last pushed 15d ago), licensed MIT. It adds 187 tokens to every session and 985 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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