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/dioptx/weft/wf-previewnpx skills add dioptx/weft --skill wf-previewgit clone --depth 1 https://github.com/dioptx/weftWrote 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/dioptx/weft/wf-preview)<a href="https://agentmods.dev/skills/dioptx/weft/wf-preview"><img src="https://agentmods.dev/badge/skills/dioptx/weft/wf-preview.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 | $0.00023 | $0.00232 |
| Opus 5 | $0.00012 | $0.00116 |
| Sonnet 5 | $0.00005 | $0.00046 |
| Haiku 4.5 | $0.00002 | $0.00023 |
Grade A, and why
wf-preview 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 3d 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
Preview Weft Template
Show a detailed view of a workflow template's steps, policies, and guards.
Arguments
$ARGUMENTS
Instructions
-
If no arguments, list available templates first:
python3 "${CLAUDE_PLUGIN_ROOT}/core/cli.py" startThen ask which one to preview.
-
Show the detailed preview:
python3 "${CLAUDE_PLUGIN_ROOT}/core/cli.py" preview <template-name> -
Explain the template to the user:
- What each step does (from descriptions if available)
- Which steps have guards and what they block
- Which steps have non-default on_fail policies
- Which steps are optional
- Total step count and expected flow
-
Suggest: "Use
/wf-start <name>to start this workflow."
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.
- 3d ago First seen · 36 lines · 23 tokens per session scan A f7f5704ebecc
wf-preview is a skill published in the GitHub repository dioptx/weft (22 stars, last pushed 18d ago), licensed MIT. It adds 23 tokens to every session and 232 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.
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