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 ma-compbio-lab/SkillFoundry --skill wdl-task-startergit clone --depth 1 https://github.com/ma-compbio-lab/SkillFoundryWrote 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/ma-compbio-lab/skillfoundry/wdl-task-starter)<a href="https://agentmods.dev/skills/ma-compbio-lab/skillfoundry/wdl-task-starter"><img src="https://agentmods.dev/badge/skills/ma-compbio-lab/skillfoundry/wdl-task-starter/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/ma-compbio-lab/skillfoundry/wdl-task-starter"><img src="https://agentmods.dev/badge/skills/ma-compbio-lab/skillfoundry/wdl-task-starter.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 | $0.00041 | $0.00508 |
| Opus 5 | $0.00020 | $0.00254 |
| Sonnet 5 | $0.00008 | $0.00102 |
| Haiku 4.5 | $0.00004 | $0.00051 |
Grade A, and why
wdl-task-starter 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
Purpose
Run a local WDL task end to end and use it as a starter for task and workflow authoring.
When to use
- You need a verified OpenWDL-style local example.
- You want a small WDL task or workflow starter with JSON inputs.
When not to use
- You need cloud backends or Cromwell execution.
- You need advanced imports or large workflow graphs.
Inputs
- A WDL document
- A Cromwell-style JSON input object
- Optional run directory and summary path
Outputs
- A JSON run summary with the output JSON emitted by
miniwdl - The rendered
greeting.txtfile inside the run directory
Requirements
slurm/envs/workflow-languagesminiwdludockerinside the same prefix for daemonless local execution
Procedure
- Run
python3 skills/reproducible-workflows/wdl-task-starter/scripts/run_wdl_hello.py --name Ada --workspace scratch/wdl/workspace --summary-out scratch/wdl/summary.json. - Inspect the WDL outputs JSON and the materialized
greeting.txt; the wrapper configures a daemonless localminiwdlexecution path for this toy task. - Use
examples/hello.wdlandexamples/hello-inputs.jsonas the base for new tasks or workflows.
Validation
miniwdl runexits successfully.- The output JSON includes greeting text and a file output.
Failure modes and fixes
- Missing runtime: verify
slurm/envs/workflow-languagesexists andpython -m WDL --versionworks. - Missing daemonless backend: verify
slurm/envs/workflow-languages/bin/udocker --versionworks. - Input mismatch: run
miniwdl run --jsonto inspect the required input object shape.
Safety and limits
- This skill runs a local toy workflow only.
- Extend runtime blocks carefully before using external containers or large file inputs.
Provenance
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 53 lines · 41 tokens per session scan A f900d17ebbbb
wdl-task-starter is a skill published in the GitHub repository ma-compbio-lab/SkillFoundry (38 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 41 tokens to every session and 508 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 2026-09-03.
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