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 agentsope/SkillAlchemy --skill agentsop-structured-output-pickergit clone --depth 1 https://github.com/agentsope/SkillAlchemyWrote 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/agentsope/skillalchemy/agentsop-structured-output-picker)<a href="https://agentmods.dev/skills/agentsope/skillalchemy/agentsop-structured-output-picker"><img src="https://agentmods.dev/badge/skills/agentsope/skillalchemy/agentsop-structured-output-picker/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/agentsope/skillalchemy/agentsop-structured-output-picker"><img src="https://agentmods.dev/badge/skills/agentsope/skillalchemy/agentsop-structured-output-picker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 364 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 366 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 368 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00105 | $0.05428 |
| Opus 5.5 | $0.00042 | $0.02171 |
| Sonnet 5.5 | $0.00021 | $0.01086 |
| Haiku 4.5 | $0.00011 | $0.00543 |
Grade A, and why
agentsop-structured-output-picker 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 386 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Structured-Output-Picker — 在解码处约束，还是在校验处约束？
One-liner: Three local libraries (Outlines, Instructor, Guidance) plus provider-native structured outputs all "make the model emit valid structure", but they enforce at different points and fail differently. Pick by how costly a malformed output is and whether you control the decoder. Then pick the failure stance — Assert (hard-fail + retry) vs Suggest (soft nudge, degrade gracefully) — borrowed from DSPy's constraint primitives.
This is an ENHANCE overlay. The four enforcement mechanisms each have a working local skill; what no single one provides is the cross-library *which-one
- how-to-handle-failure* decision. That gap is hit every time an LM output is
consumed by code. For what shape the content should take (code vs JSON vs
prose), descend first to
[[agentsop-output-format-by-model]]— this skill assumes the shape is already chosen and asks only how to enforce it.
1. 何时激活 (When to activate)
Activate after you have decided the output shape (via
[[agentsop-output-format-by-model]]) and the answer was "a typed/validated object", and
before you write the parsing code.
| Trigger | Signal |
|---|---|
| LM output feeds a parser | json.loads(resp) / Model.model_validate(...) is in the next line of code |
| You picked a typed shape | format-by-model said "JSON / Pydantic / typed field" — now: who enforces it? |
| Repeated parse failures | JSONDecodeError, ValidationError, truncated/extra-prose responses in logs |
| Library is already installed | outlines, instructor, or guidance is in the env and you must choose between them |
| An enum / regex / range must hold | output must be one of N labels, a valid date, a bounded int |
| You must decide failure stance | "if the model returns garbage, do I crash, retry, or accept-and-flag?" |
Anti-triggers (skip this skill):
- The content is code / multi-step reasoning / long prose — go back to
[[agentsop-output-format-by-model]]; enforcing a JSON grammar on code is the headline anti-pattern there (Aider 61%→20%). Enforcement strength is the wrong question when the shape is wrong. - No code consumes the output yet (one-shot exploration).
- The shape is one token / one number — any parser works; no library needed.
What ships with it
3 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.
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 · 386 lines · 105 tokens per session scan A dc3c3913fd51
agentsop-structured-output-picker is a skill published in the GitHub repository agentsope/SkillAlchemy (445 stars, last pushed 14d ago), licensed MIT. It adds 105 tokens to every session and 5,428 once invoked, about $0.0004 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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