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/zjunlp/skilladaptor/skill-adaptornpx skills add zjunlp/SkillAdaptor --skill skill-adaptorgit clone --depth 1 https://github.com/zjunlp/SkillAdaptorWrote 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/zjunlp/skilladaptor/skill-adaptor)<a href="https://agentmods.dev/skills/zjunlp/skilladaptor/skill-adaptor"><img src="https://agentmods.dev/badge/skills/zjunlp/skilladaptor/skill-adaptor.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 | $0.00029 | $0.00240 |
| Opus 5 | $0.00015 | $0.00120 |
| Sonnet 5 | $0.00006 | $0.00048 |
| Haiku 4.5 | $0.00003 | $0.00024 |
Grade A, and why
skill-adaptor 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.
What it actually says
SkillAdaptor (Codex)
Evolve reusable SKILL.md files from failure trajectories. Python CLI in this repo.
Quick run
From the SkillAdaptor repo (set skillAdaptorRoot to the directory containing run_plugin.py):
cd <skillAdaptorRoot>
python run_plugin.py init --workspace <workspace> --harness codex
# add task briefs under <workspace>/input_task/*.md
python run_plugin.py --workspace <workspace> --harness codex --max-iterations 2
Outputs: <workspace>/skills/<id>/SKILL.md — auto-synced to ~/.codex/skills/ and <workspace>/.agents/skills/.
Harness
Use --harness codex (not openclaw or claude-code) so adopted skills appear in Codex skill discovery paths.
Docs
See plugin/codex/README.md in the SkillAdaptor repository.
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 · 30 lines · 29 tokens per session scan A bcbbe48431f4
skill-adaptor is a skill published in the GitHub repository zjunlp/SkillAdaptor (18 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 240 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
tdd
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
writing-great-skills
Reference for writing and editing skills well — the vocabulary and principles that make a skill predictable.
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alfworld-search-pattern-executor
Systematically searches a sequence of likely locations for a target object based on common sense. Use when you need to find a specific object and know which receptacles to check but not which one contains it. Takes a list of candidate receptacles, orchestrates navigation and inspection, and outputs when the target is…
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Searches for a specified tool or device (e.g., a desklamp, knife, or sponge) within the ALFWorld environment by checking relevant surfaces. Use when you need a tool to interact with another object as part of a task but the tool is not in your inventory or immediate vicinity. Takes a tool name as implicit input and…
alfworld-object-heater
Heats a specified object using an available heating appliance (e.g., microwave, stoveburner). Use when you are holding an object that requires heating and need to navigate to and operate the heating appliance. Takes the object and appliance as inputs and results in the object being in a heated state.