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 BingHanOfUESTC/open_agent_team --skill skill-validation-and-evaluationgit clone --depth 1 https://github.com/BingHanOfUESTC/open_agent_teamWrote 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/binghanofuestc/open_agent_team/skill-validation-and-evaluation)<a href="https://agentmods.dev/skills/binghanofuestc/open_agent_team/skill-validation-and-evaluation"><img src="https://agentmods.dev/badge/skills/binghanofuestc/open_agent_team/skill-validation-and-evaluation/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/binghanofuestc/open_agent_team/skill-validation-and-evaluation"><img src="https://agentmods.dev/badge/skills/binghanofuestc/open_agent_team/skill-validation-and-evaluation.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 | $0.00041 | $0.00267 |
| Opus 5 | $0.00020 | $0.00133 |
| Sonnet 5 | $0.00008 | $0.00053 |
| Haiku 4.5 | $0.00004 | $0.00027 |
Grade A, and why
skill-validation-and-evaluation 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 7d 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 Validation And Evaluation
Required Validation
Structure check: SKILL.md exists, has YAML frontmatter, name, description.
Routing check: 2+ positive examples should trigger the skill.
Negative routing check: 1+ example should not trigger the skill.
Content check: workflow, inputs, outputs, gotchas, resources.
Contamination check: no copied expected answer, private data, or one-off conclusion.
Progressive disclosure check: no unnecessary long content in SKILL.md.
Validation Cases Format
# Validation Cases
## Positive Case 1
User request:
Expected trigger reason:
## Positive Case 2
User request:
Expected trigger reason:
## Negative Case
User request:
Why it should not trigger:
Scoring
Use 0-10:
8.5-10: pass
7.0-8.4: conditional_pass with required fixes
<7.0: fail
Script
Use scripts/validate_skill.py <skill_dir> for basic structure validation.
What ships with it
1 file 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.
- 7d ago First seen · 50 lines · 41 tokens per session scan A 587b9f791518
skill-validation-and-evaluation is a skill published in the GitHub repository BingHanOfUESTC/open_agent_team (106 stars, last pushed 2mo ago), licensed MIT. It adds 41 tokens to every session and 267 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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