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 ClarentCinematics/Codex-Skills-for-Enterprise --skill knowledge-base-capturegit clone --depth 1 https://github.com/ClarentCinematics/Codex-Skills-for-EnterpriseWrote 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/clarentcinematics/codex-skills-for-enterprise/knowledge-base-capture)<a href="https://agentmods.dev/skills/clarentcinematics/codex-skills-for-enterprise/knowledge-base-capture"><img src="https://agentmods.dev/badge/skills/clarentcinematics/codex-skills-for-enterprise/knowledge-base-capture/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/clarentcinematics/codex-skills-for-enterprise/knowledge-base-capture"><img src="https://agentmods.dev/badge/skills/clarentcinematics/codex-skills-for-enterprise/knowledge-base-capture.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 | $0.00063 | $0.00474 |
| Opus 5 | $0.00032 | $0.00237 |
| Sonnet 5 | $0.00013 | $0.00095 |
| Haiku 4.5 | $0.00006 | $0.00047 |
Grade A, and why
knowledge-base-capture 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 9d 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
Knowledge Base Capture
Workflow
- Identify audience, knowledge type, source material, owner, and intended knowledge base location if provided.
- Extract reusable knowledge: purpose, prerequisites, steps, decisions, troubleshooting, examples, and limits.
- Remove transient discussion, duplicated context, and unresolved claims unless they are marked for review.
- Structure the article for reuse, searchability, ownership, and future maintenance.
- Produce a clean KB draft with metadata and review questions.
Script-Assisted Workflow
When reviewing a markdown KB draft, run scripts/check_kb_metadata.py --input <draft.md> to check required sections, metadata completeness, review freshness, owner gaps, and unresolved assumptions. Adjust --required-sections and --today for the target knowledge-base standard. Use the output to decide publishing readiness; do not use the script to rewrite the article.
Output Standard
Use this structure by default:
- Title: searchable, specific, and outcome-oriented.
- Audience: who should use the article.
- Summary: what the article helps the reader do.
- Prerequisites: access, tools, context, or permissions needed.
- Procedure / Guidance: steps, decision rules, or reference content.
- Troubleshooting / Exceptions: known issues, limits, and escalation path.
- Ownership And Freshness: owner, review date, source, and confidence.
- Related Links: source artifacts or related docs when provided.
- Review Questions: unresolved items before publishing.
Rules
- Do not publish unresolved assumptions as facts.
- Preserve source provenance when available.
- Flag stale, sensitive, incomplete, or ownerless knowledge for review.
- Make the article useful to someone who was not present for the original discussion.
References
Read references/kb-patterns.md when the user asks for SOPs, troubleshooting articles, incident learnings, onboarding docs, or support knowledge.
What ships with it
3 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.
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.
- 9d ago First seen · 44 lines · 63 tokens per session scan A 899753d2a1e3
knowledge-base-capture is a skill published in the GitHub repository ClarentCinematics/Codex-Skills-for-Enterprise (2 stars, last pushed 2mo ago), licensed MIT. It adds 63 tokens to every session and 474 once invoked, about $0.0003 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 2026-08-31.
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