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 Advai-X/advai-skills --skill advai-distillgit clone --depth 1 https://github.com/Advai-X/advai-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/advai-x/advai-skills/advai-distill)<a href="https://agentmods.dev/skills/advai-x/advai-skills/advai-distill"><img src="https://agentmods.dev/badge/skills/advai-x/advai-skills/advai-distill/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/advai-x/advai-skills/advai-distill"><img src="https://agentmods.dev/badge/skills/advai-x/advai-skills/advai-distill.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 | $0.00045 | $0.00940 |
| Opus 5 | $0.00023 | $0.00470 |
| Sonnet 5 | $0.00009 | $0.00188 |
| Haiku 4.5 | $0.00005 | $0.00094 |
Grade A, and why
advai-distill 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 12d 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Advai Distill
Use this skill to turn a successfully completed task into a reusable minimal skill that another agent can execute without access to the original conversation.
Place the generated skill in .advai/skills/<skill-name>/SKILL.md.
When to Invoke
Invoke this skill when the user wants to:
- Extract a reusable skill from the current conversation after the task is complete
- Distill a successful historical task, prior thread, or agent workflow into a new skill
- Formalize a repeatable process that was proven during execution
- Generate a minimal skill package that contains only
SKILL.md
Do not use this skill while the source task is still unresolved, missing verification, or mostly exploratory.
Output Contract
- Create a lowercase hyphenated skill name shorter than 64 characters
- Create exactly one file in the target skill directory:
.advai/skills/<skill-name>/
└── SKILL.md
- Write only
nameanddescriptionin the YAML frontmatter - Keep the description explicit about both what the skill does and when it should trigger
- Do not create
README, scripts, assets, or process reports unless the user explicitly asks for them
Collect Evidence
- Read the full source conversation in chronological order.
- If the source is another task or thread, use an available task-reading mechanism. If the history is unavailable or incomplete, ask for the transcript or exported history.
- Inspect the final artifacts, diffs, commands, tool outputs, tests, and user acceptance evidence referenced by that conversation.
- Treat later user corrections and decisions as authoritative over earlier statements.
- Confirm that the task actually succeeded. Do not infer success from confident wording alone.
Extract the Reusable Workflow
Identify:
- the intended outcome and likely trigger requests
- required inputs, prerequisites, permissions, and tools
- the shortest reliable sequence that produced the result
- decision rules, branches, fallbacks, and confirmation points
- failures that should be preserved as guardrails
- concrete verification of the final business or technical outcome
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.
- 12d ago First seen · 103 lines · 45 tokens per session scan A 6b28c5bdab9e
advai-distill is a skill published in the GitHub repository Advai-X/advai-skills (64 stars, last pushed 17d ago), licensed MIT. It adds 45 tokens to every session and 940 once invoked, about $0.0002 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.
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