Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ValorVie/custom-skillsnpx agentmods add skills/valorvie/custom-skills/ai-collaboration-standardsWrote 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/valorvie/custom-skills/ai-collaboration-standards)<a href="https://agentmods.dev/skills/valorvie/custom-skills/ai-collaboration-standards"><img src="https://agentmods.dev/badge/skills/valorvie/custom-skills/ai-collaboration-standards/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/valorvie/custom-skills/ai-collaboration-standards"><img src="https://agentmods.dev/badge/skills/valorvie/custom-skills/ai-collaboration-standards.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 | $0.00079 | $0.01752 |
| Opus 5 | $0.00039 | $0.00876 |
| Sonnet 5 | $0.00016 | $0.00350 |
| Haiku 4.5 | $0.00008 | $0.00175 |
Grade A, and why
ai-collaboration-standards 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 9d 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 — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Collaboration Standards
Language: English | 繁體中文
Version: 1.1.1 Last Updated: 2026-01-30 Applicability: Claude Code Skills
AI Skills Hierarchy | AI 技能層級
This skill is part of a three-layer AI collaboration system:
| Layer | Skill | Question it Answers | 回答的問題 |
|---|---|---|---|
| Behavior (Immediate) | /ai-collaboration (this) |
"How should AI respond accurately?" | 「AI 如何準確回應？」 |
| Configuration (Session) | /ai-instruction-standards |
"What to write in CLAUDE.md?" | 「CLAUDE.md 該寫什麼？」 |
| Architecture (Long-term) | /ai-friendly-architecture |
"How to structure code for AI?" | 「如何讓專案對 AI 友善？」 |
Purpose
This skill ensures AI assistants provide accurate, evidence-based responses without hallucination.
Quick Reference
Unified Tag System
This skill uses two complementary tag categories:
Category 1: Certainty Tags (for analyzing existing content)
| Tag | Use When |
|---|---|
[Confirmed] |
Direct evidence from code/docs |
[Inferred] |
Logical deduction from evidence |
[Assumption] |
Based on common patterns (needs verification) |
[Unknown] |
Information not available |
[Need Confirmation] |
Requires user clarification |
Category 2: Derivation Tags (for generating new content)
| Tag | Use When |
|---|---|
[Source] |
Direct content from spec/requirement |
[Derived] |
Transformed from source content |
[Generated] |
AI-generated structure |
[TODO] |
Requires human implementation |
When to Use Which:
| Workflow | Primary Tags |
|---|---|
| Code analysis | Certainty Tags |
| Reverse engineering | Certainty Tags |
| Forward derivation | Derivation Tags |
| Spec generation | Derivation Tags |
Source Types
| Source Type | Tag | Reliability |
|---|---|---|
| Project Code | [Source: Code] |
⭐⭐⭐⭐⭐ Highest |
| Project Docs | [Source: Docs] |
⭐⭐⭐⭐ High |
| External Docs | [Source: External] |
⭐⭐⭐⭐ High |
| Web Search | [Source: Search] |
⭐⭐⭐ Medium |
| AI Knowledge | [Source: Knowledge] |
⭐⭐ Low |
| User Provided | [Source: User] |
⭐⭐⭐ Medium |
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.
- 9d ago First seen · 221 lines · 79 tokens per session scan A ee95a907fad2
ai-collaboration-standards is a skill published in the GitHub repository ValorVie/custom-skills (5 stars, last pushed 4d ago), licensed MIT. It adds 79 tokens to every session and 1,752 once invoked, about $0.0004 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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