SkillsBench is a benchmark for measuring how effectively AI agents use modular skills—folders containing instructions, scripts, and resources—to complete specialized tasks. It helps researchers and developers evaluate both skill quality and agent behavior, including tasks that require combining multiple skills. The catalogue’s skills and instructions are evaluated as part of this workflow.
Borrowing it
Nothing to install: this file belongs to benchflow-ai/skillsbench. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/benchflow-ai/skillsbench/main/.agents/skills/task-creator/SKILL.mdgit clone --depth 1 https://github.com/benchflow-ai/skillsbenchWrote 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/benchflow-ai/skillsbench/task-creator)<a href="https://agentmods.dev/skills/benchflow-ai/skillsbench/task-creator"><img src="https://agentmods.dev/badge/skills/benchflow-ai/skillsbench/task-creator/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/benchflow-ai/skillsbench/task-creator"><img src="https://agentmods.dev/badge/skills/benchflow-ai/skillsbench/task-creator.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 | $0.00104 | $0.04218 |
| Opus 5.5 | $0.00042 | $0.01687 |
| Sonnet 5.5 | $0.00021 | $0.00844 |
| Haiku 4.5 | $0.00010 | $0.00422 |
Grade B, and why
task-creator scanned grade B with 2 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
CODEX_MODEL=gpt-5.5 # adjust per ~/.codex/config.toml Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Bundle frozen inputs (CSVs, xlsx) in `environment/`. For tasks that need internet (research-track), declare the required network and environment policy in `task.md` frontmatter and prefer Playwright over `urllib` for any Copies of this mod
1 near-identical copy found in the catalogue:
- task-creator — 97% identical, 11 lines differ
How it starts
The opening of the file, as written. The whole thing — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SkillsBench Task Authoring
Build a task that scores well on the task principles. Two artifacts when you're done: a directory under tasks/<task-id>/ that bench tasks check accepts, and a PR description that maps cleanly to the PR template.
Workflow
1. propose → one-paragraph proposal, gut-check against the proposal rubric
2. scaffold → bench tasks init, plus the native task.md layout below
3. task.md → frontmatter + human-written, outcome-focused prompt body
4. environment → Dockerfile + bundled inputs; do NOT bake skills
5. tests → 4–10 test functions, parametrize for bulk; check formulas AND values
6. oracle → human-written reference solution that derives answers
7. skills → 2–3 generalizable skills (or reuse existing ones from /tasks/*/environment/skills/)
8. validate → bench tasks check + oracle eval (must reach 1.0)
9. self-review → invoke task-review skill on the local path
10. agent runs → Opus 4.8 / latest Codex with and without skills
11. submit → PR with the table the template asks for
Each step is described below. Skip a step only if the rubric says it's optional for your track (research / multimodal). Skipping verification will get the PR rejected.
Step 1 — Propose
Before writing files, write a four-bullet proposal answering the proposal-stage rubric:
- What's the task? One paragraph.
- Who does this in real life? Job, domain, why someone pays for it.
- Why do skills help? What domain knowledge is non-obvious without a skill?
- How would you verify it? Specific output files, deterministic tests.
Sanity-check against the seven proposal criteria (motivated · skill-dependent · verifiable · well-specified · solvable · realistic · outcome-verified). If any is shaky, fix the idea before scaffolding. Posting the proposal in #task-ideas is optional but cheap insurance.
What ships with it
14 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.
- assets/Dockerfile.template 1.2 KB
- assets/task.md.template 834 B
- assets/test.sh.template 915 B
- references/instruction-anatomy.md 3.8 KB
- references/oracle-patterns.md 10 KB
- references/tasktype-code.md 5.0 KB
- references/tasktype-excel.md 5.0 KB
- references/tasktype-infrastructure.md 5.3 KB
- references/tasktype-multimodal.md 5.5 KB
- references/tasktype-research.md 5.0 KB
- references/tasktype-scientific.md 6.3 KB
- references/test-design.md 7.9 KB
- references/time-invariance.md 4.9 KB
- scripts/preflight.sh 2.6 KB runs code
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 · 234 lines · 104 tokens per session scan B 2ca85ff63011
task-creator is a skill published in the GitHub repository benchflow-ai/skillsbench (1,867 stars, last pushed today), licensed Apache-2.0. It adds 104 tokens to every session and 4,218 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it B with 2 findings (reads agent configuration directories, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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