sdk-scenario-generator

sdk-scenario-generator is a skill for Codex from jscraik/Agent-Skills. It costs 72 tokens per session (1,722 once invoked), scanned A, original, Apache-2.0.

A guide for creating and maintaining test scenarios for coding-agent skills. These scenarios check whether a skill gives useful results across different evaluation systems.

In plain words
What is it for?
Use it to create, import, repair, or retire evaluation cases and investigate scoring, leakage, baseline, fixture, or runtime problems.
Why use it?
It helps diagnose weak or rejected evaluations without making the tests artificially easier.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit Use it to create, import, repair, or retire evaluation cases and investigate scoring, leakage, baseline, fixture, or runtime problems.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jscraik/agent-skills/sdk-scenario-generator
Install

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.

Any agent
npx skills add jscraik/Agent-Skills --skill sdk-scenario-generator
Clone the repo
git clone --depth 1 https://github.com/jscraik/Agent-Skills

Made for: Codex.

Wrote 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.

agentmods badge for sdk-scenario-generator

README.md
[![agentmods](https://agentmods.dev/badge/skills/jscraik/agent-skills/sdk-scenario-generator/github.svg)](https://agentmods.dev/skills/jscraik/agent-skills/sdk-scenario-generator)
Your own site
<a href="https://agentmods.dev/skills/jscraik/agent-skills/sdk-scenario-generator"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/sdk-scenario-generator/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.

agentmods 80×15 button for sdk-scenario-generator

Your own site · 80×15
<a href="https://agentmods.dev/skills/jscraik/agent-skills/sdk-scenario-generator"><img src="https://agentmods.dev/badge/skills/jscraik/agent-skills/sdk-scenario-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,722 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00072 $0.01722
Opus 5 $0.00036 $0.00861
Sonnet 5 $0.00014 $0.00344
Haiku 4.5 $0.00007 $0.00172

Measured 8d ago against content hash 94319ca93631, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

sdk-scenario-generator 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 8d 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.

Skills/agent-ops/sdk-scenario-generator/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SDK Scenario Generator

Create gold-standard Skills SDK scenarios that survive internal checks, OSS lanes, and Tessl quality filtering without leaking the answer.

When To Use

  • Create, import, repair, or retire references/evals.yaml cases for a skill.
  • Turn KnowledgeOS, Tessl, or plugin-generated scenario drafts into canonical SDK evals.
  • Diagnose low lift, baseline wins, Tessl quality-filter rejection, or oss-local/oss-cloud failures.
  • Prepare dry Tessl or live private Tessl staging after internal gates pass.

Do not use this skill to make scenarios easier after a failed eval. Fix the skill, task, criteria, scorer, fixture, or runtime owner that the evidence names.

Inputs

  • Target skill path, latest SKILL.md, references/contract.yaml, and references/evals.yaml.
  • Selected references/evals/*.md fixture notes or KnowledgeOS capsule evidence only when routed by the task.
  • Latest internal, oss-local, oss-cloud, dry Tessl, live Tessl, or Plugin Eval receipt when diagnosing quality or readiness.
  • Tessl qualityFilterStatus, leakage, scenario-value, baseline, and with-context evidence when Tessl rejected or down-scored scenarios.

Outputs

  • Scenario inventory with keep, rewrite, retire, or add decisions.
  • Canonical eval patches or reviewed scenario drafts with schema_version.
  • Owner classification for failures: skill, task, criteria, scorer, fixture, runtime, or pipeline guardrail.
  • Tessl tile scenario assets when requested: instructions.json, summary.json, summary_infeasible.json, and scenario-N/{task.md,criteria.json,capability.txt}.
  • Readiness summary that keeps internal proof, OSS proof, Tessl dry-run, live Tessl, Registry, and publication lanes separate.

Workflow

  1. Confirm the named gate in references/sdk-pipeline-setup.md; load only the target skill, contract, eval YAML, selected fixtures, and latest relevant receipt.
  2. Classify each failing case before editing: leakage, low scenario value, weak comparator, vague criteria, missing fixture, baseline tie, baseline win, stale task, hidden dependency, unsupported assertion, or runtime mismatch.
  3. Treat Tessl rejection as a pipeline defect until SDK scenario-quality also blocks that class. Patch the shared quality gate or generator contract before rerunning live Tessl.
  4. Feed repeat failures back to the start of the pipeline. Patch the source fixture, scenario adapter, scenario-quality gate, or skill package before oss-local; do not spend oss-cloud or live Tessl runs rediscovering a shape defect.
  5. Keep task text realistic and agent-facing. Do not include Required behavior, Failure mode, Return these exact fields, copied criteria, long expected answers, or scoring mechanics in the visible task.
  6. Keep criteria scorer-facing. Put expected behavior, failure modes, and rubric dimensions in acceptance criteria or hidden metadata, not in prompt or exported task.md.
  7. For generated fixture scenarios that score a packaged skill, ask the runner to score package instructions and references, not a fresh chat response. Criteria must not expect raw_response, final.json, or observable response text unless the runner actually creates that artifact.
  8. Keep low-value unrelated negatives in local routing smoke only. Release/Tessl negatives must test realistic safety, authority, evidence, boundary, or should-not-trigger pressure.
  9. Use concrete fixtures for repo-audit scenarios. If the case asks for file-path evidence, command evidence, or repo state, inline the relevant files in task.md or provide a staged fixture artifact.
  10. Import only reviewed cases into canonical eval assets; never copy raw generated scenarios into references/evals.yaml.
  11. Run package verify, scenario-quality, scorer-quality, and scorer-calibration before oss-local, oss-cloud, Tessl local proof, dry Tessl, or live Tessl.
  12. Use oss-local before oss-cloud; fast is smoke only. Treat Tessl as staged confirmation after internal gates and run-budget proof.

Read the full file on GitHub · 120 lines

Files

What ships with it

47 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.

Changes

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.

  1. 8d ago First seen · 120 lines · 72 tokens per session scan A 94319ca93631

Subscribe to this mod's changes

sdk-scenario-generator is a skill published in the GitHub repository jscraik/Agent-Skills (8 stars, last pushed 10d ago), licensed Apache-2.0. It adds 72 tokens to every session and 1,722 once invoked, about $0.0004 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.

Related

Other skills, from other repositories

browser-automation

Local Python-based browser automation toolkit using Playwright. Provides command-line tools for navigating, interacting with, and testing web applications without using MCP protocols. Supports clicking, typing, hovering, screenshots, content extraction, and JavaScript execution.

archubbuck/workspace-architect · 50 tokens

api-testing

REST/GraphQL API testing with automated validation — test endpoints, validate responses, check status codes, and ensure API contracts.

kevinnft/ai-agent-skills · 27 tokens

kaboom

Use when user asks to check browser state, debug page errors, inspect network traffic, take screenshots, automate clicks or form fills, run accessibility or security audits, measure performance, generate tests, or record browser sessions. Trigger phrases: "check my browser", "debug this page", "take a screenshot"…

brennhill/Kaboom-Browser-AI-Devtools-MCP · 99 tokens

qa-check

A pre-completion quality check for a software task. It finds which files changed and runs the relevant project checks through Make, such as linting, type checks, tests, or static analysis.

Xakki/ai-agents-skills · 66 tokens

regression-test

Use when user has fixed a bug and needs a test that proves it stays fixed, or when a failure needs to be captured as a reproducible test case.

brennhill/Kaboom-Browser-AI-Devtools-MCP · 36 tokens

reliability

Use when user asks to stress-test the system, validate reconnection behavior, check for race conditions, or verify end-to-end data flow integrity.

brennhill/Kaboom-Browser-AI-Devtools-MCP · 33 tokens