Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add dioptx/weft/plugin install 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-resume)<a href="https://agentmods.dev/skills/dioptx/weft/wf-resume"><img src="https://agentmods.dev/badge/skills/dioptx/weft/wf-resume.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 5.1 | $0.00037 | $0.00398 |
| Opus 5 | $0.00018 | $0.00199 |
| Sonnet 5 | $0.00007 | $0.00080 |
| Haiku 4.5 | $0.00004 | $0.00040 |
Grade A, and why
wf-resume scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Resume a Parked Weft Workflow
When weft runs unattended (WEFT_UNATTENDED=1, e.g. via shim) and a step's on_fail: block gate
fires, the workflow parks in waiting and emits wf.needs_human instead of failing/hanging. The
detached session stops cleanly. This skill resumes it once you've resolved the gate.
Steps
- See what it's waiting on:
python3 "${CLAUDE_PLUGIN_ROOT}/core/cli.py" status --json
Look for "status": "waiting". The most recent wf.needs_human event names the parked step and the
reason:
python3 "${CLAUDE_PLUGIN_ROOT}/core/cli.py" query --type wf.needs_human --last 1
-
Resolve whatever the gate flagged (fix the code, answer the question, etc.).
-
Resume — flips the workflow back to
runningat the parked step:
python3 "${CLAUDE_PLUGIN_ROOT}/core/cli.py" resume "<what you resolved>"
- Advance the (now running) step as normal with
/wf-step complete(or/wf-run-stepif it has an executor).
Notes
resumeonly works on awaitingworkflow; it errors otherwise.waitingis a valid stop state, so a parked workflow never blocks a session from ending.- It survives
weft rebuild(replayed fromwf.needs_human/wf.resumed).
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.
- 6d ago First seen · 45 lines · 37 tokens per session scan A 104733a7e0b0
wf-resume is a skill published in the GitHub repository dioptx/weft (24 stars, last pushed 21d ago), licensed MIT. It adds 37 tokens to every session and 398 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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