Borrowing it
Nothing to install: this file belongs to Pratiyush/llm-wiki. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Pratiyush/llm-wiki/master/.claude/commands/wiki-serve.mdgit clone --depth 1 https://github.com/Pratiyush/llm-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/commands/pratiyush/llm-wiki/wiki-serve)<a href="https://agentmods.dev/commands/pratiyush/llm-wiki/wiki-serve"><img src="https://agentmods.dev/badge/commands/pratiyush/llm-wiki/wiki-serve.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00000 | $0.00124 |
| Opus 5 | $0.00000 | $0.00062 |
| Sonnet 5 | $0.00000 | $0.00025 |
| Haiku 4.5 | $0.00000 | $0.00012 |
Grade A, and why
wiki-serve 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 8d 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.
What it actually says
Start a local HTTP server for the built llmwiki site.
Usage: /wiki-serve [port]
Run:
python3 -m llmwiki serve --port ${ARGUMENTS:-8765}
The server binds to 127.0.0.1 only by default (localhost-only). Report the URL to the user.
Security note: the server exposes site/ to anyone who can reach 127.0.0.1:<port>. For LAN sharing, the user must explicitly pass --host 0.0.0.0.
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.
- 8d ago First seen · 14 lines · 0 tokens per session scan A a0a8c28d555d
wiki-serve is a command published in the GitHub repository Pratiyush/llm-wiki (385 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 124 tokens. 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.
Other commands, from other repositories
prompt-pilot
Rewrite a rough prompt into a precise, context-enriched prompt (read-only — never implements the task).
sdd-apply
Implement SDD tasks — writes code following specs and design.
sdd-init
Initialize SDD context — detects project stack and bootstraps persistence backend.
kb-ingest
Ingest external material into Sources/ inside the bound project KB, then update registry, index, and daily note as needed.
ijfw-audit
Run the IJFW audit gate for the current workflow phase. Usage: /ijfw-audit [phase name].
api-aqa-flow-execution-and-report-analysis
Phase 6 Execution & Report Analysis of api-aqa-flow (USER INTERACTION REQUIRED).