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 YangsonHung/awesome-agent-skills --skill ax-extract-workflowgit clone --depth 1 https://github.com/YangsonHung/awesome-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/yangsonhung/awesome-agent-skills/ax-extract-workflow)<a href="https://agentmods.dev/skills/yangsonhung/awesome-agent-skills/ax-extract-workflow"><img src="https://agentmods.dev/badge/skills/yangsonhung/awesome-agent-skills/ax-extract-workflow/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/yangsonhung/awesome-agent-skills/ax-extract-workflow"><img src="https://agentmods.dev/badge/skills/yangsonhung/awesome-agent-skills/ax-extract-workflow.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00029 | $0.00582 |
| Opus 5.5 | $0.00012 | $0.00233 |
| Sonnet 5.5 | $0.00006 | $0.00116 |
| Haiku 4.5 | $0.00003 | $0.00058 |
Grade A, and why
ax-extract-workflow 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 1mo 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ax Extract Workflow
Overview
Reconstruct the workflow behind a shipped artifact from local ax data. Resolve an anchor, find the relevant sessions, inspect turns, tools, skills, commits, and delegations, then write a compact account of what happened.
This skill assumes ax is installed, session data has been ingested, and the local ax database is reachable.
When to Use
Use this skill when the user asks for:
- How a feature, PR, demo, or artifact was shipped
- What made a past result work
- The workflow around a date, commit, topic, or repository event
- The sessions, tools, skills, or decisions that led to an artifact
- A repeatable recipe based on prior local agent work
Do not use
Do not use this skill for:
- Generic recent activity summaries
- New implementation planning before past evidence is inspected
- Project status reports not tied to a concrete artifact, date, or commit
- Reconstructing work when local ax data is unavailable
Instructions
- Identify the anchor:
- Commit SHA: use it directly.
- Date: use a small window around that date.
- Topic or artifact name: search commits first.
- Current repo, recent work: inspect recent sessions for the repo.
- Resolve candidate sessions:
ax recall "<topic>" --sources=commit --json
ax sessions near <sha> --json
ax sessions around <date> --days=3 --json
ax sessions here --days=14 --json
- Pick up to five sessions. Prefer sessions with high turn counts, matching commits, related files, or relevant tool and skill usage.
- Inspect each selected session:
ax sessions show <id> --json
ax sessions show <id> --by-role
ax sessions show <id> --expand=<subagent-uuid>
- If ax cannot connect to its database, tell the user to start ax services and stop. Do not invent evidence.
- Write the reconstruction from evidence:
- Ordered workflow arc: what happened first, next, and last.
- Skill/tool role: what each important skill or tool contributed.
- Key decisions: user steering points or tradeoffs that changed the work.
- Repeatable recipe: how to run a similar workflow again.
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.
- 1mo ago First seen · 72 lines · 29 tokens per session scan A 941132c84361
ax-extract-workflow is a skill published in the GitHub repository YangsonHung/awesome-agent-skills (18 stars, last pushed 2mo ago), licensed MIT. It adds 29 tokens to every session and 582 once invoked, about $0.0001 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 2026-08-30.
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