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/hoavdc/codexkit/codexkit-skill-templatenpx skills add hoavdc/CodexKit --skill codexkit-skill-templategit clone --depth 1 https://github.com/hoavdc/CodexKitWrote 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/hoavdc/codexkit/codexkit-skill-template)<a href="https://agentmods.dev/skills/hoavdc/codexkit/codexkit-skill-template"><img src="https://agentmods.dev/badge/skills/hoavdc/codexkit/codexkit-skill-template.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 | $0.00050 | $0.00891 |
| Opus 5 | $0.00025 | $0.00445 |
| Sonnet 5 | $0.00010 | $0.00178 |
| Haiku 4.5 | $0.00005 | $0.00089 |
Grade A, and why
codexkit-skill-template 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.
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Template (Exemplar)
This is a working reference skill. Copy the entire
codexkit-skill-template/folder and rename it to create a new skill.
When to Use
- When creating a brand-new CodexKit skill from scratch
- When upgrading an existing skill to the v2 format
- When reviewing whether a skill meets the quality bar
Procedure
Step 1 — Define the Intent
Write a clear, one-sentence purpose. Answer: "After running this skill, the user will have ___."
Step 2 — Map the Domain
Identify the 3–5 key frameworks or standards that professionals use in this domain. Use the Deep Research Prompt to generate domain knowledge if needed.
Step 3 — Write the Procedure
Break the workflow into 4–7 steps. Each step should produce a concrete, visible output — not just "think about X."
Step 4 — Add Verification
Write domain-specific 4C questions. The Consequence question is the most important: "If this output were used immediately, what could go wrong?"
Step 5 — Document Edge Cases
List situations where the skill's default approach breaks down. For each, provide a mitigation or fallback.
Inputs
| Input | Required | Format |
|---|---|---|
| Skill domain description | Yes | Free text — the problem space this skill serves |
| Target audience | Yes | Who will consume the output (developers, managers, executives) |
| Existing materials | Recommended | Any templates, standards, or examples to build from |
Output
A complete skill folder with:
SKILL.mdfollowing v2 format (10 sections)agents/openai.yamlwith interface blockCHANGELOG.mdinitialized at v1.0.0
Quality Criteria
- Purpose is a single, clear sentence — no compound goals
- Procedure steps each produce a visible deliverable
- Quality Criteria are measurable or concretely observable
- 4C Verification questions are domain-specific, not generic
- Edge Cases cover at least 3 realistic failure scenarios
- Examples show annotated contrast between good and bad output
- Frontmatter has
name,description,version,category
What ships with it
5 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.
- yesterday First seen · 96 lines · 50 tokens per session scan A 6c780f36fa7e
codexkit-skill-template is a skill published in the GitHub repository hoavdc/CodexKit (21 stars, last pushed 3mo ago), licensed MIT. It adds 50 tokens to every session and 891 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 2026-09-03.
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