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 markoblogo/abvx-agent-skills --skill skillopt-evolve-skillsgit clone --depth 1 https://github.com/markoblogo/abvx-agent-skillsWrote 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/markoblogo/abvx-agent-skills/skillopt-evolve-skills)<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/skillopt-evolve-skills"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/skillopt-evolve-skills/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/markoblogo/abvx-agent-skills/skillopt-evolve-skills"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/skillopt-evolve-skills.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 | $0.00079 | $0.00739 |
| Opus 5 | $0.00039 | $0.00369 |
| Sonnet 5 | $0.00016 | $0.00148 |
| Haiku 4.5 | $0.00008 | $0.00074 |
Grade A, and why
skillopt-evolve-skills 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.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SkillOpt Evolve Skills
Use this skill to improve reusable agent behavior as a versioned artifact, not as a one-off prompt rewrite.
Layer Check
Before editing a skill, use agent-learning-layer-triage when the lesson could instead belong in memory, durable repo docs, a checklist, a script/tool, an eval, or a rejected buffer.
Only continue here when the chosen layer is SKILL.md, AGENTS.md, or another reusable agent-instruction artifact.
Loop
- Identify the target artifact:
SKILL.md,AGENTS.md, checklist, prompt, or workflow note. - Define the behavior to improve in one sentence.
- Gather evidence from real traces: user requests, command logs, diffs, failures, review comments, screenshots, or final outputs.
- Propose bounded edits only:
append: add a missing rule to the right section.replace: tighten a vague rule.delete: remove a harmful or redundant rule.move: relocate a rule to where it will trigger.
- Generate 2-4 distinct bounded proposals before choosing what to validate. The alternatives should differ in operation, target section, or behavioral effect, not just wording.
- Accept edits only when they are procedural, reusable, and testable.
- Validate against at least one old scenario and one new scenario when feasible.
- Record rejected ideas if they looked plausible but would overfit, duplicate existing rules, or weaken a guardrail.
Edit Budget
Keep skill updates small:
- Prefer 1-4 accepted edits per update.
- Keep each rule action-oriented and no longer than needed.
- Do not add examples unless they prevent a likely mistake.
- Do not duplicate rules already enforced by system, developer, AGENTS.md, or a more specific skill.
- Use
hypothesis-diversificationwhen candidate generation is likely to collapse onto the first plausible edit. - Preserve the existing voice and structure of the artifact.
Validation Gate
Before finalizing a skill change, check:
- Trigger fit: The frontmatter description names the real situations where the skill should load.
- Actionability: The body tells Codex what to do differently, not what to admire or remember abstractly.
- Generalization: The rule applies to a class of tasks, not a single observed example.
- Non-regression: The new rule does not conflict with higher-priority instructions or common workflows.
- Cost: The extra tokens are justified by avoided errors or repeated work.
What ships with it
2 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 · 75 lines · 79 tokens per session scan A 2aabd2f29aba
skillopt-evolve-skills is a skill published in the GitHub repository markoblogo/abvx-agent-skills (16 stars, last pushed yesterday), licensed MIT. It adds 79 tokens to every session and 739 once invoked, about $0.0004 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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