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.
npx agentmods add skills/naimkatiman/continuous-improvement/wikinpx skills add naimkatiman/continuous-improvement --skill wikigit clone --depth 1 https://github.com/naimkatiman/continuous-improvementWrote 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/naimkatiman/continuous-improvement/wiki)<a href="https://agentmods.dev/skills/naimkatiman/continuous-improvement/wiki"><img src="https://agentmods.dev/badge/skills/naimkatiman/continuous-improvement/wiki.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 | $0.00019 | $0.00521 |
| Opus 5 | $0.00010 | $0.00260 |
| Sonnet 5 | $0.00004 | $0.00104 |
| Haiku 4.5 | $0.00002 | $0.00052 |
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.
This is a copy
88% identical to wiki — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Wiki
Persistent, self-maintained markdown knowledge base for project and session knowledge. Inspired by Karpathy's LLM Wiki concept.
Operations
Ingest
Process knowledge into wiki pages. A single ingest can touch multiple pages.
wiki_ingest({ title: "Auth Architecture", content: "...", tags: ["auth", "architecture"], category: "architecture" })
Query
Search across all wiki pages by keywords and tags. Returns matching pages with snippets — YOU (the LLM) synthesize answers with citations from the results.
wiki_query({ query: "authentication", tags: ["auth"], category: "architecture" })
Lint
Run health checks on the wiki. Detects orphan pages, stale content, broken cross-references, oversized pages, and structural contradictions.
wiki_lint()
Quick Add
Add a single page quickly (simpler than ingest).
wiki_add({ title: "Page Title", content: "...", tags: ["tag1"], category: "decision" })
List / Read / Delete
wiki_list() # Show all pages (reads index.md)
wiki_read({ page: "auth-architecture" }) # Read specific page
wiki_delete({ page: "outdated-page" }) # Delete a page
Log
View wiki operation history by reading .omc/wiki/log.md.
Categories
Pages are organized by category: architecture, decision, pattern, debugging, environment, session-log
Storage
- Pages:
.omc/wiki/*.md(markdown with YAML frontmatter) - Index:
.omc/wiki/index.md(auto-maintained catalog) - Log:
.omc/wiki/log.md(append-only operation chronicle)
Cross-References
Use [[page-name]] wiki-link syntax to create cross-references between pages.
Auto-Capture
At session end, significant discoveries are automatically captured as session-log pages. Configure via wiki.autoCapture in .omc-config.json (default: enabled).
Hard Constraints
- NO vector embeddings — query uses keyword + tag matching only
- Wiki pages are git-ignored by default (
.omc/wiki/is project-local)
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.
- yesterday First seen · 68 lines · 19 tokens per session scan A 1b95d2da6a18
wiki is a skill published in the GitHub repository naimkatiman/continuous-improvement (7 stars, last pushed 10d ago), licensed MIT. It adds 19 tokens to every session and 521 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to wiki, differing in 8 lines, and is treated as a copy.
Other skills, from other repositories
remember
Review auto-memory entries and propose promotions to CLAUDE.md, CLAUDE.local.md, or shared memory. Also detects outdated, conflicting, and duplicate entries across memory layers.
reflect
Per-project self-improvement - reads the .harness ledger and feedback memories, then proposes gated rule/threshold/ADR changes so the project stops repeating mistakes. Run periodically.
ucai-patterns
Use when the user asks about Claude Code best practices, how to write agents, how to use hooks, how to manage context, or how to work effectively with Claude Code's native systems.
dream
Memory consolidation - review, merge, prune, and index memory files. Run periodically to keep memories organized and up-to-date.
meta-synthesis
Reads /context/skill-sessions.md (the session log every execution skill writes to) to detect patterns that repeat across 2+ sessions, proposes new guardrails for /context/meta-patterns.md, and proposes brain updates for confirmed learnings. Run on-demand or roughly weekly — not a scheduled background job. Trigger on…
meta-learn
Deliberate deep-dive capture for a completed skill session that deserves more than the automatic one-line row every T1/T2 skill already logs at its own close — asks three extraction questions (what surprised you, what was wrong, what was missing), turns real answers into specific, falsifiable pattern statements, and…