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 SummerEngine/summer-engine-agent --skill skill-improvegit clone --depth 1 https://github.com/SummerEngine/summer-engine-agentWrote 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/summerengine/summer-engine-agent/skill-improve)<a href="https://agentmods.dev/skills/summerengine/summer-engine-agent/skill-improve"><img src="https://agentmods.dev/badge/skills/summerengine/summer-engine-agent/skill-improve/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/summerengine/summer-engine-agent/skill-improve"><img src="https://agentmods.dev/badge/skills/summerengine/summer-engine-agent/skill-improve.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 | $0.00067 | $0.00786 |
| Opus 5 | $0.00034 | $0.00393 |
| Sonnet 5 | $0.00013 | $0.00157 |
| Haiku 4.5 | $0.00007 | $0.00079 |
Grade A, and why
skill-improve 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 5d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- skill-improve — 97% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/skill-improve — Iterate on a Skill With Eval Harness
Inspired by anthropics/skills skill-creator/. Use when a skill's behavioral spec is failing assertions or producing low-quality output.
When to use this vs. /skill-test
/skill-test specreasons over text. Cheap, fast, lossy./skill-improveactually runs the skill in parallel subagents with-vs-without proposed changes. Expensive, accurate.
Run this when /skill-test spec flags issues you can't fix by reading the skill alone.
Steps
1. Pick the skill + the spec
Ask the user:
- Skill name. Resolves to
skills/<category>/<name>/SKILL.md. - Test cases to focus on. Default: all
## Caseblocks intests/specs/<name>.md.
2. Establish a baseline
For each Case:
- Spawn a subagent (
Tasktool,general-purpose) with the current skill body in context. - Give it the Case's Input + Fixture.
- Capture the tool calls it makes and the diff it produces.
- Score against the Case's Assertions.
Save outputs to tests/runs/<skill-name>/baseline/case-<N>/.
3. Propose changes
Read the failing Cases. Identify the gap between what the skill says and what the agent did. Common gaps:
- Skill names a tool but the agent picked a different one (clarify the trigger).
- Skill assumes a fixture detail the agent missed (add explicit step to confirm).
- Skill's "May I" wording is too generic for the agent to infer the right ask.
Draft a revised SKILL.md. May I write it to tests/runs/<skill-name>/proposed/SKILL.md?
4. Run the proposed version
Repeat step 2 with the proposed SKILL.md. Save to tests/runs/<skill-name>/proposed/case-<N>/.
5. Compare and decide
For each Case, score:
- Assertions passed (proposed vs. baseline).
- Tool-call efficiency (fewer tools = better, all else equal).
- Hallucination / unwanted ops (penalize).
Output:
Case 1 (Happy): baseline 4/6 proposed 6/6 ✓ ship proposed
Case 2 (Failure): baseline 3/4 proposed 4/4 ✓ ship proposed
Case 3 (Edge): baseline 3/3 proposed 3/3 = no change
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.
- 5d ago First seen · 89 lines · 67 tokens per session scan A cb6dd4f07e9a
skill-improve is a skill published in the GitHub repository SummerEngine/summer-engine-agent (59 stars, last pushed today), licensed MIT. It adds 67 tokens to every session and 786 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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