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 jeremylongworth-source/AgentSkills --skill skill-output-scoringgit clone --depth 1 https://github.com/jeremylongworth-source/AgentSkillsWrote 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/jeremylongworth-source/agentskills/skill-output-scoring)<a href="https://agentmods.dev/skills/jeremylongworth-source/agentskills/skill-output-scoring"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/skill-output-scoring/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/jeremylongworth-source/agentskills/skill-output-scoring"><img src="https://agentmods.dev/badge/skills/jeremylongworth-source/agentskills/skill-output-scoring.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 | $0.00049 | $0.00285 |
| Opus 5 | $0.00024 | $0.00143 |
| Sonnet 5 | $0.00010 | $0.00057 |
| Haiku 4.5 | $0.00005 | $0.00028 |
Grade A, and why
skill-output-scoring 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.
What it actually says
Skill Output Scoring
Core Workflow
- Identify the output, scenario, target artifact, and scoring rubric.
- Score each criterion with brief evidence, not just a number.
- Separate output quality from prompt quality and missing context.
- Call out blockers before averages.
- Compare baseline and skill-enabled scores when both exist.
- Recommend keep, revise, split, merge, defer, or retire based on the score and risks.
Safety Rules
- Do not average away high-risk failures.
- Do not treat polished writing as correctness.
- Do not score claims as correct without evidence or source material.
- Escalate when the output affects production, security, legal, finance, employment, medical, compliance, or customer commitments.
Deliverable Shape
For scoring reports, provide:
- Scenario and artifact
- Rubric used
- Score table
- Blockers
- Improvements and regressions
- Confidence level
- Decision recommendation
References
- Read
references/skill-output-scoring-checklist.mdwhen scoring or comparing agent skill outputs.
What ships with it
2 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.
- 8d ago First seen · 43 lines · 49 tokens per session scan A 7039ca4db3cd
skill-output-scoring is a skill published in the GitHub repository jeremylongworth-source/AgentSkills (1 stars, last pushed 9d ago), licensed MIT. It adds 49 tokens to every session and 285 once invoked, about $0.0002 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.
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