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 evoelsewhere/evoflux --skill skill-creatorgit clone --depth 1 https://github.com/evoelsewhere/evofluxWrote 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/evoelsewhere/evoflux/skill-creator)<a href="https://agentmods.dev/skills/evoelsewhere/evoflux/skill-creator"><img src="https://agentmods.dev/badge/skills/evoelsewhere/evoflux/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/evoelsewhere/evoflux/skill-creator"><img src="https://agentmods.dev/badge/skills/evoelsewhere/evoflux/skill-creator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00126 | $0.02333 |
| Opus 5.5 | $0.00050 | $0.00933 |
| Sonnet 5.5 | $0.00025 | $0.00467 |
| Haiku 4.5 | $0.00013 | $0.00233 |
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 22d 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 — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Creator
A skill is a directory that gives an agent the procedural knowledge for one
kind of task. EvoFlux lists every skill's name, description, and the
absolute location of its SKILL.md in the system prompt; the agent reads
SKILL.md with the read tool when a task matches, and reads or runs bundled
files only when SKILL.md points to them.
my-skill/
├── SKILL.md required: YAML frontmatter + Markdown instructions
├── references/ optional: documentation read on demand
├── scripts/ optional: executable code, run with the shell tool
└── assets/ optional: templates, data, images used in output
Nothing else belongs in a bundle: no agents/*.yaml, no .evoflux.json, no
evals/, no README.md, no changelog. There is no mode scope; a skill is
available in both Work and Coding mode.
Where to create the skill
Create new skills in the user skills directory; its absolute path is stated in
the Skills section of the system prompt. The skill is the direct child
<user skills directory>/<name>/SKILL.md. Create it under
<workspace>/.evoflux/skills/<name>/ only when the user wants it shared with
a repository. Discovery refreshes automatically after the files are written;
no restart is needed.
To install an existing third-party bundle instead of writing one, read the
skill-installer skill.
Workflow
Copy this checklist and track progress:
- [ ] 1. Collect use cases and at least three evaluation scenarios
- [ ] 2. Record baseline behavior without the skill
- [ ] 3. Write the frontmatter
- [ ] 4. Write the minimal body that closes the observed gaps
- [ ] 5. Split detail into references/, scripts/, assets/
- [ ] 6. Self-validate (checklist below)
- [ ] 7. Run the scenarios with the skill, fix, repeat
1. Collect use cases and evaluation scenarios
Build evaluations before writing extensive documentation. Pin down with the user, as Trigger -> Steps -> Result:
- the outcome the user wants, and the literal phrases they would type;
- the steps in order, the tools and scripts needed, and the domain knowledge the agent does not already have;
- adjacent requests that must not load the skill.
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.
- 22d ago Changed · +30 lines · +45 tokens per session b70788e967d1
- 1mo ago First seen · 176 lines · 81 tokens per session scan A 0c1b2ac1cbb5
skill-creator is a skill published in the GitHub repository evoelsewhere/evoflux (11 stars, last pushed yesterday), licensed Apache-2.0. It adds 126 tokens to every session and 2,333 once invoked, about $0.0005 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 2026-09-06.
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