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 synthetic-toy-dataset-generator-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/synthetic-toy-dataset-generator-starter)<a href="https://agentmods.dev/skills/ma-compbio-lab/skillfoundry/synthetic-toy-dataset-generator-starter"><img src="https://agentmods.dev/badge/skills/ma-compbio-lab/skillfoundry/synthetic-toy-dataset-generator-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/synthetic-toy-dataset-generator-starter"><img src="https://agentmods.dev/badge/skills/ma-compbio-lab/skillfoundry/synthetic-toy-dataset-generator-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 | $0.00000 | $0.00256 |
| Opus 5 | $0.00000 | $0.00128 |
| Sonnet 5 | $0.00000 | $0.00051 |
| Haiku 4.5 | $0.00000 | $0.00026 |
Grade A, and why
synthetic-toy-dataset-generator-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 12d 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
Synthetic Toy Dataset Generator Starter
Use this skill to generate a deterministic tiny dataset bundle for tests, demos, and smoke fixtures.
What This Skill Does
- creates a small sample sheet, feature sheet, and count matrix
- uses a fixed seed for deterministic values
- writes a manifest and a compact JSON summary
- keeps the output small enough to commit as a verified asset
When To Use It
- when you need a starter for
synthetic-toy-dataset-generation-for-tests - when downstream skills need a small reusable fixture bundle
- when you want deterministic tabular test data without external downloads
Run
python3 skills/data-acquisition-and-dataset-handling/synthetic-toy-dataset-generator-starter/scripts/generate_synthetic_toy_dataset.py \
--sample-count 6 \
--feature-count 4 \
--seed 17 \
--out-dir scratch/synthetic-toy-dataset/toy_bundle \
--summary-out scratch/synthetic-toy-dataset/toy_bundle_summary.json
Notes
- The generated bundle is intentionally generic and lightweight; it is designed to feed other skills' tests.
- The summary includes simple deterministic checks so regressions are easy to spot in CI.
What ships with it
11 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/README.md 89 B
- assets/toy_bundle_summary.json 839 B
- assets/toy_bundle/features.tsv 112 B
- assets/toy_bundle/manifest.json 124 B
- assets/toy_bundle/matrix.tsv 128 B
- assets/toy_bundle/samples.tsv 123 B
- examples/toy_dataset_config.json 60 B
- metadata.yaml 1.4 KB
- refs.md 225 B
- scripts/generate_synthetic_toy_dataset.py 3.7 KB runs code
- tests/test_generate_synthetic_toy_dataset.py 3.4 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.
- 12d ago First seen · 33 lines · 0 tokens per session scan A 51bc915c2df3
synthetic-toy-dataset-generator-starter is a skill published in the GitHub repository ma-compbio-lab/SkillFoundry (39 stars, last pushed 4mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 256 tokens. 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.
Other skills, from other repositories
confirm-failures-are-causally-linked-to-the-task-before-reportin
When delegating a task affected by this skill, include.
include-test-files-that-assert-on-behavior-being-changed-in-decl
When delegating a task affected by this skill, include.
run-tests-on-the-unmodified-codebase-before-starting-to-establis
When delegating a task affected by this skill, include.
building
Implementation skill for writing production code with TDD. Covers the RED-GREEN-REFACTOR cycle, false-RED detection, vertical slicing, scope escalation, test process discipline, and code generation patterns. Loaded by component-builder and bug-investigator.
shaft-stakeholder-reporting
Use when translating verified SHAFT coverage, outcomes, defects, trends, and residual risk into business quality or release decisions.
ai-agents-portability-campaign
Execute cross-harness hook changes for Claude Code and GitHub Copilot CLI using the settled official contract, versioned probes, generators, and runtime tests. Use for run the portability campaign, port hooks to a new harness, copilot hook timeout regression, or new copilot cli release, recheck the contract. Do NOT…