wiki

A knowledge-base workflow for the AgentWire LLM Wiki, a collection of Markdown pages maintained by an AI coding workflow. It covers writing pages and using commands or tools to search, check, summarize, and archive wiki information.

In plain words
What is it for?
Recording newly learned information, searching existing project knowledge, checking wiki health, creating correctly structured pages, and archiving consumed source material.
Why use it?
Keeping project knowledge useful requires consistent page structure and regular checks for missing or outdated material. The workflow separates AI-written content from predictable search and maintenance operations.

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/dotdevdotdev/agentwire-dev/wiki
Any agent
npx skills add dotdevdotdev/agentwire-dev --skill wiki
Clone the repo
git clone --depth 1 https://github.com/dotdevdotdev/agentwire-dev

Made for: Claude Code, Codex.

Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,887 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 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 $0.00092 $0.01887
Opus 5 $0.00046 $0.00944
Sonnet 5 $0.00018 $0.00377
Haiku 4.5 $0.00009 $0.00189

Measured yesterday against content hash 11d5844918af, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 yesterday.

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.

.claude/skills/wiki/SKILL.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AgentWire Wiki

LLM-maintained knowledge base at ~/.agentwire/wiki/. Read ~/.agentwire/wiki/CLAUDE.md for the full schema and conventions.

How the loop actually works: authoring is in-context — the session that learns something writes the page itself (Write/Edit into wiki/<category>/<name>.md), with full context, for free. That's the working path; there is no scheduled batch ingester. The mechanical parts — searching, health-checking, scaffolding, archiving sources — are deterministic and run through the agentwire wiki CLI (and the wiki_query / wiki_lint / wiki_status MCP tools), exactly like /handoff splits "LLM distills in-context, CLI renders deterministically."

Mechanical op Command
Search the wiki agentwire wiki query <q> [--limit N] [--json] / MCP wiki_query
Health-check (structural + ground-truth) agentwire wiki lint [--strict] [--json] / MCP wiki_lint
Overview (counts, unprocessed raw, health) agentwire wiki status [--json] / MCP wiki_status
Scaffold a page with correct frontmatter agentwire wiki new <category> <name> [--title T]
Archive a consumed source agentwire wiki done <rawfile>

(All stdlib-only — they run from a source checkout with no rebuild.)

Subcommands

/wiki ingest

Authoring is in-context and primary. When you discover something worth keeping, write or update the page now, in your own session — agentwire wiki new <category> <name> scaffolds the frontmatter, then you fill in the body and add [[page-name]] wikilinks. This is how the wiki is maintained; don't wait for a batch job (there isn't one).

raw/ is an optional verbatim-source inbox — a place to stash an article, gist, transcript, or findings dump you might author from later. It is not the primary path and nothing drains it automatically.

To author from a stranded raw source:

  1. Read the file in raw/.
  2. Identify entities (technologies, patterns, APIs, research topics) and, for each, create (agentwire wiki new …) or update the matching wiki/<category>/<name>.md — in-context, citing the raw file as a source.
  3. Add [[page-name]] wikilinks for cross-references.
  4. When the source is consumed, archive it: agentwire wiki done <rawfile> moves raw/<f>raw/processed/<f> (content is never edited — only relocated, so immutability holds; "unprocessed = files directly in raw/" stays a trivial check, no .ingested marker).

Read the full file on GitHub · 106 lines

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. yesterday First seen · 106 lines · 92 tokens per session scan A 11d5844918af

Subscribe to this mod's changes

wiki is a skill published in the GitHub repository dotdevdotdev/agentwire-dev (21 stars, last pushed 17d ago), licensed Apache-2.0. It adds 92 tokens to every session and 1,887 once invoked, about $0.0005 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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