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 skills add X-RayLuan/awesome-ceo-stack --skill openclaw-enterprise-knowledge-base-skillgit clone --depth 1 https://github.com/X-RayLuan/awesome-ceo-stackWrote 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/x-rayluan/awesome-ceo-stack/openclaw-enterprise-knowledge-base-skill)<a href="https://agentmods.dev/skills/x-rayluan/awesome-ceo-stack/openclaw-enterprise-knowledge-base-skill"><img src="https://agentmods.dev/badge/skills/x-rayluan/awesome-ceo-stack/openclaw-enterprise-knowledge-base-skill/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/x-rayluan/awesome-ceo-stack/openclaw-enterprise-knowledge-base-skill"><img src="https://agentmods.dev/badge/skills/x-rayluan/awesome-ceo-stack/openclaw-enterprise-knowledge-base-skill.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00078 | $0.01096 |
| Opus 5.5 | $0.00031 | $0.00438 |
| Sonnet 5.5 | $0.00016 | $0.00219 |
| Haiku 4.5 | $0.00008 | $0.00110 |
Grade A, and why
openclaw-enterprise-knowledge-base 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
12 files 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.
- agents/openai.yaml 342 B
- assets/banner.png 688 KB
- package.json 174 B
- README.md 12 KB
- references/agent-sync.md 1.5 KB
- references/agentic-rag.md 7.6 KB
- references/hot-cache.md 1.0 KB
- references/ontology-schema.md 1.4 KB
- references/ontology-vocabulary.md 8.1 KB
- references/vault-structure.md 998 B
- scripts/validate-vault.mjs 5.3 KB runs code
- tests/validate-vault.test.mjs 3.5 KB runs code
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.
- 1mo ago First seen · 147 lines · 78 tokens per session scan A 5de8f4a257b3
openclaw-enterprise-knowledge-base is a skill published in the GitHub repository X-RayLuan/awesome-ceo-stack (10 stars, last pushed 3mo ago), with no licence file. It adds 78 tokens to every session and 1,096 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
llm-wiki
Explain and apply the foundational LLM Wiki architecture and knowledge-management strategy. Use for setup, architecture, schema, or organization decisions; operational ingest/query/lint work uses dedicated skills.
wiki-lint
Audit wiki health: broken links, orphans, contradictions, stale content, lifecycle and tag issues. Use for maintenance or health checks. Default is report-only; use wiki-dedup for page-identity merges.
wiki-export
Export the Obsidian wiki graph to JSON, GraphML, Neo4j Cypher, Postgres/SQL, HTML, or OKF bundles. Use when transferring or visualizing wiki data in external tools; wiki-import handles the reverse direction.
wiki-query
Search and synthesize answers from the compiled Obsidian wiki, including cited and multi-hop answers. Use for questions about existing wiki knowledge or fast index-only lookups, and for challenge requests ("challenge this", "argue against X", "poke holes in my plan") that look for the vault's own evidence against a…
wiki-status
Report wiki ingestion/completeness state, pending source delta, structural insights, or maintenance equilibrium. Use for remaining-work/status questions, hubs and bridges, or whether maintenance skills still have pending changes. wiki-digest summarizes learned knowledge instead.
cross-linker
Find and add missing cross-references between wiki pages. Use when pages are disconnected or after large ingestion. This modifies pages to add links; use wiki-lint for report-oriented structural auditing.