Relay10 Skill Lab
Create or tune a focused DisciplinedRun skill using clean-room prompts, trigger tests, and with-skill versus baseline evaluation. Use when adding a skill or changing its description or workflow; do not use merely to run an existing skill.
Install
$ agentstack add skill-minwoo19930301-relay10-relay10-skill-lab ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-minwoo19930301-relay10-relay10-skill-lab) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
DisciplinedRun Skill Lab
Add a skill only when it improves a repeated job enough to justify context and maintenance cost.
Design
- Define one job, its expected output, and its non-goals.
- Write a front-loaded description covering what it does, when it triggers, and an important non-trigger boundary.
- Keep
SKILL.mdshort. Move only substantial optional detail into directly linkedreferences/; add deterministic scripts only for work the model should not improvise. - Write all prompt text and scripts independently. Record third-party behavior patterns and licenses in provenance instead of copying text.
- Avoid absolute user paths, hidden network calls, interactive scripts, and unbounded retry loops.
Evaluate
Create at least:
- ten should-trigger prompts;
- ten near-miss should-not-trigger prompts;
- three representative outcome tasks;
- one adversarial or failure case.
Split trigger examples into tuning and validation sets. Compare with_skill against without_skill on output quality, correctness, token use, time, and failure type. Forward-test in a clean task or subagent so the authoring context does not leak into the result.
Recommended promotion gate: validation recall at least 90%, near-miss false triggers at most 10%, all deterministic assertions passing, and no material quality regression.
Validate the pack
Check:
- valid YAML frontmatter and matching folder/name;
- concise
agents/openai.yamlwith a literal$skill-namestarter prompt when the pack targets Codex distribution; Claude Code ignores this file; - no TODOs, broken relative links, or machine-specific absolute paths;
- deterministic scripts support
--help, non-interactive execution, clear exit codes, and structured output; - plugin manifest points only to files that exist;
- total metadata remains small enough for progressive disclosure.
Reject a skill whose baseline is already as good or whose maintenance cost outweighs its measured benefit.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: minwoo19930301
- Source: minwoo19930301/relay10
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.