Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/jscraik/Agent-Skillsnpx agentmods add skills/jscraik/agent-skills/skill-creatorWrote 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/jscraik/agent-skills/skill-creator)<a href="https://agentmods.dev/skills/jscraik/agent-skills/skill-creator"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/skill-creator/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/jscraik/agent-skills/skill-creator"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/skill-creator.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 | $0.00030 | $0.04198 |
| Opus 5.5 | $0.00012 | $0.01679 |
| Sonnet 5.5 | $0.00006 | $0.00840 |
| Haiku 4.5 | $0.00003 | $0.00420 |
Grade A, and why
skill-creator 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.
How it starts
The opening of the file, as written. The whole thing — 395 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Creator
This skill provides guidance for creating effective skills.
About Skills
Skills are modular folders that give Codex specialized workflows, tool integrations, domain context, and bundled resources for tasks it must repeat reliably.
Core Principles
Concise is Key
The context window is a public good. Skills share the context window with everything else Codex needs: system prompt, conversation history, other Skills' metadata, and the actual user request.
Default assumption: Codex is already very smart. Only add context Codex doesn't already have. Challenge each piece of information: "Does Codex really need this explanation?" and "Does this paragraph justify its token cost?"
Prefer concise examples over verbose explanations.
Set Appropriate Degrees of Freedom
Match the level of specificity to the task's fragility and variability:
High freedom (text-based instructions): Use when multiple approaches are valid, decisions depend on context, or heuristics guide the approach.
Medium freedom (pseudocode or scripts with parameters): Use when a preferred pattern exists, some variation is acceptable, or configuration affects behavior.
Low freedom (specific scripts, few parameters): Use when operations are fragile and error-prone, consistency is critical, or a specific sequence must be followed.
Protect Validation Integrity
You may use subagents during iteration to validate whether a skill works on realistic tasks or whether a suspected problem is real. This is most useful when you want an independent pass on the skill's behavior, outputs, or failure modes after a revision. Only do this when it is possible to start new subagents.
When using subagents for validation, treat that as an evaluation surface. The goal is to learn whether the skill generalizes, not whether another agent can reconstruct the answer from leaked context.
Prefer raw artifacts such as example prompts, outputs, diffs, logs, or traces. Give the minimum task-local context needed to perform the validation. Avoid passing the intended answer, suspected bug, intended fix, or your prior conclusions unless the validation explicitly requires them.
What ships with it
22 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 183 B
- assets/skill-creator-small.svg 1.3 KB
- assets/skill-creator.png 1.5 KB
- license.txt 11 KB
- LOCAL_PATCH.md 1.6 KB
- references/contract.yaml 1.0 KB
- references/evals.yaml 7.9 KB
- references/openai_yaml.md 2.3 KB
- references/skill-factory/agent-injection.md 892 B
- references/skill-factory/codex-eval-creation-loop.md 5.8 KB
- references/skill-factory/contract.yaml 1.0 KB
- references/skill-factory/evals.yaml 7.9 KB
- references/skill-factory/factory-governance-spine.md 3.0 KB
- references/skill-factory/foundations.md 3.9 KB
- references/skill-factory/prompt-injection-patterns.json 1.4 KB
- references/skill-factory/task-profile.json 1.3 KB
- references/task-profile.json 1.3 KB
- scripts/audit_skill_descriptions.py 5.1 KB runs code
- scripts/generate_openai_yaml.py 7.0 KB runs code
- scripts/init_skill_templates.py 21 KB runs code
- scripts/init_skill.py 13 KB runs code
- scripts/quick_validate.py 3.2 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 Changed · +334 lines · -6 tokens per session 7f00550d1e1a
- 1mo ago First seen · 61 lines · 36 tokens per session scan A ea17615a861e
skill-creator is a skill published in the GitHub repository jscraik/Agent-Skills (9 stars, last pushed 4d ago), licensed Apache-2.0. It adds 30 tokens to every session and 4,198 once invoked, about $0.0001 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 2026-09-03.
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