wiki

wiki is a skill for Claude Code from ai-ecoverse/slicc. It costs 123 tokens per session (792 once invoked), scanned A, original, Apache-2.0.

A shared, linked Markdown knowledge base for saving and finding information across coding-agent sessions. Markdown is plain text with simple formatting, and the included command-line tool can search, read, list, and inspect links between pages.

In plain words
What is it for?
Use it to save notes or articles, search what is already known, inspect related pages, find unlinked pages, and review recent sources.
Why use it?
It keeps useful knowledge from being rediscovered or lost between sessions. It separates durable, organized notes from short-term memory and raw session archives.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions CLAUDE.md.

Good fit Use it to save notes or articles, search what is already known, inspect related pages, find unlinked pages, and review recent sources.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ai-ecoverse/slicc/wiki
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.

Any agent
npx skills add ai-ecoverse/slicc --skill wiki
Clone the repo
git clone --depth 1 https://github.com/ai-ecoverse/slicc

Made for: Claude Code.

Wrote 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.

agentmods badge for wiki

README.md
[![agentmods](https://agentmods.dev/badge/skills/ai-ecoverse/slicc/wiki/github.svg)](https://agentmods.dev/skills/ai-ecoverse/slicc/wiki)
Your own site
<a href="https://agentmods.dev/skills/ai-ecoverse/slicc/wiki"><img src="https://agentmods.dev/badge/skills/ai-ecoverse/slicc/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.

agentmods 80×15 button for wiki

Your own site · 80×15
<a href="https://agentmods.dev/skills/ai-ecoverse/slicc/wiki"><img src="https://agentmods.dev/badge/skills/ai-ecoverse/slicc/wiki.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 123 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 792 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00123 $0.00792
Opus 5.5 $0.00049 $0.00317
Sonnet 5.5 $0.00025 $0.00158
Haiku 4.5 $0.00012 $0.00079

Measured 1mo ago against content hash 2d8cc49f6b9f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 1mo 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.

packages/vfs-root/workspace/skills/wiki/SKILL.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

wiki — the shared knowledge base

/shared/wiki is the compounding layer of SLICC's memory: per-cone memory files (/workspace/CLAUDE.md) hold a small budgeted working set, session archives hold everything raw, and the wiki in between holds synthesized knowledge as interlinked pages every cone can read. The schema — layout, conventions, log format — is /shared/wiki/WIKI.md; read it before editing anything. The nightly memory-dreaming pass moves over-budget knowledge out of memory files into wiki pages, so treat the wiki as where durable knowledge lives.

The wiki CLI

wiki search <term>     # search pages by title and content (max 20 hits)
wiki list [category]   # list pages, optionally one category
wiki read <note>       # print a page (name, name.md, or category/name)
wiki stats             # pages per category, raw sources, wikilink count
wiki links <note>      # inbound + outbound wikilinks for a page
wiki orphans           # pages with zero inbound links
wiki recent [n]        # newest raw sources in _raw/ (default 10)
wiki log [n]           # last N log.md entries (default 10)

The CLI is read-only and fails loudly when the wiki cannot be read — a zero scan is an error, never a clean bill of health.

Behaviors (from the llm-wiki pattern)

Ingest — new source in. Read the source (never edit it; session archives in /sessions/ count as sources, cited in place). Extract entities → pages, claims → cited sentences, relationships → [[wikilinks]] on both endpoints. Update index.md, verify every new wikilink resolves (create a stub or flag it missing), append ## [YYYY-MM-DD] ingest | <title> to log.md.

Query — question in. Read index.md first to discover pages, follow cross-links, synthesize with wiki-backed citations, file the answer as a page, update the index, log with keyword query.

Lint — health pass. wiki orphans plus a scan for broken wikilinks, stale claims and contradictions. Fix with consent: repoint or stub broken links, add inbound links to orphans, mark conflicts on both pages with > ⚠ CONFLICT [YYYY-MM-DD]: <description>. Log with keyword lint and counts.

Read the full file on GitHub · 66 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. 1mo ago First seen · 66 lines · 123 tokens per session scan A 2d8cc49f6b9f

Subscribe to this mod's changes

wiki is a skill published in the GitHub repository ai-ecoverse/slicc (34 stars, last pushed 2d ago), licensed Apache-2.0. It adds 123 tokens to every session and 792 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-09-12.

Related

Other skills, from other repositories

learnings

Use for repeated-looking troubleshooting, solved-issue recall, adding durable troubleshooting notes, and maintaining the local LEARNINGS archive. Reads LEARNINGS-SUMMARY.md first, follows referenced archive/source files before applying lessons, and verifies against current system evidence.

Firstp1ck/pi-coding-agent-forge · 54 tokens

contextdb-autopilot

Automatic ContextDB session lifecycle — init, session events, checkpoints, and continuity artifacts. Use when you need AIOS context persistence without prompt injection. NOT for general task execution — only for ContextDB session management. TRIGGER: contextdb、session persist、checkpoint save.

rexleimo/aios · 60 tokens

memo

AIOS project memory — read/write/search your own memory using the memo capabilities. You (the model) decide what to remember, what to correct, and what was useful; the harness only executes your decision. Use when you want to recall prior work, persist a durable fact, supersede a wrong one, or mark a recalled memory…

rexleimo/aios · 94 tokens

aios-offload-recall

Use when recalling prior AIOS tool/browser outputs from offloaded refs; inspect Mermaid canvas first, then read only matching node-level evidence.

rexleimo/aios · 34 tokens

memory-search

Runs read-only SQL over the local EvoFlux session database (evoflux.db) for structured analysis that ordinary recall cannot answer, such as aggregating tool failures across sessions, filtering turns by role, agent, or time range, reconstructing a complete execution chain, or checking a remembered claim against what a…

evoelsewhere/evoflux · 112 tokens

map

Per-site navigation memory for tandem's shared browser. Profiles that describe a site's skeleton (routes), its durable locators, navigation recipes, and gotchas, so you navigate KNOWING instead of re-deriving the DOM each time. Use it when you start operating a site (check whether a profile already exists), when you…

bgmacris/quimera-ai · 98 tokens