Executor is a shared integration layer that lets AI agents use tools from MCP servers, OpenAPI specifications, GraphQL APIs, and custom JavaScript functions through one catalog. It centralizes credentials and per-tool access policies so MCP-compatible agents can reuse the same integrations.
Borrowing it
Nothing to install: this file belongs to UsefulSoftwareCo/executor. 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/UsefulSoftwareCo/executor/main/.agents/skills/wrdn-effect-schema-boundaries/SKILL.mdgit clone --depth 1 https://github.com/UsefulSoftwareCo/executorWrote 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/usefulsoftwareco/executor/wrdn-effect-schema-boundaries)<a href="https://agentmods.dev/skills/usefulsoftwareco/executor/wrdn-effect-schema-boundaries"><img src="https://agentmods.dev/badge/skills/usefulsoftwareco/executor/wrdn-effect-schema-boundaries/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/usefulsoftwareco/executor/wrdn-effect-schema-boundaries"><img src="https://agentmods.dev/badge/skills/usefulsoftwareco/executor/wrdn-effect-schema-boundaries.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00051 | $0.00355 |
| Opus 5.5 | $0.00020 | $0.00142 |
| Sonnet 5.5 | $0.00010 | $0.00071 |
| Haiku 4.5 | $0.00005 | $0.00036 |
Grade A, and why
wrdn-effect-schema-boundaries 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 2mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- wrdn-effect-schema-boundaries — 100% identical, 0 lines differ
What it actually says
You fix one pattern: domain code is asserting or probing an unknown shape instead of parsing it once at the boundary.
Fix Shape
- Prefer
Schema.decodeUnknownEffect(MySchema)(value)for untrusted input. - Prefer
Schema.decodeUnknownEffect(Schema.fromJsonString(MySchema))(text)orSchema.decodeUnknownOption(Schema.parseJson())(text)for JSON strings. - Keep domain code typed after the decode; do not keep
unknownand probe it repeatedly. - Replace
JSON.parse,value as string,as unknown as X,as Record<string, unknown>, inline object assertions,"field" in value, andReflect.getwith a schema, typed adapter, or named guard. - A named guard is acceptable only when parsing is not the right abstraction and the guard has a precise return type.
Good
const ParsedConfig = Schema.Struct({
endpoint: Schema.String,
});
const config = yield * Schema.decodeUnknownEffect(ParsedConfig)(raw);
const config = yield * Schema.decodeUnknownEffect(Schema.fromJsonString(ParsedConfig))(rawText);
Bad
const config = raw as unknown as { endpoint: string };
const config = JSON.parse(rawText) as { endpoint: string };
const pattern = updated.pattern as string;
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.
- 2mo ago First seen · 45 lines · 51 tokens per session scan A aae568a8b337
wrdn-effect-schema-boundaries is a skill published in the GitHub repository UsefulSoftwareCo/executor (4,297 stars, last pushed today), licensed MIT. It adds 51 tokens to every session and 355 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
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