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 happycapy-ai/Happycapy-skills --skill contract-first-agentsgit clone --depth 1 https://github.com/happycapy-ai/Happycapy-skillsWrote 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/happycapy-ai/happycapy-skills/contract-first-agents)<a href="https://agentmods.dev/skills/happycapy-ai/happycapy-skills/contract-first-agents"><img src="https://agentmods.dev/badge/skills/happycapy-ai/happycapy-skills/contract-first-agents/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/happycapy-ai/happycapy-skills/contract-first-agents"><img src="https://agentmods.dev/badge/skills/happycapy-ai/happycapy-skills/contract-first-agents.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Rogue Agent · line 3 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00068 | $0.01568 |
| Opus 5 | $0.00034 | $0.00784 |
| Sonnet 5 | $0.00014 | $0.00314 |
| Haiku 4.5 | $0.00007 | $0.00157 |
Grade A, and why
contract-first-agents 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 12d 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 — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Contract-First Map-Reduce Agent Coordination
Wraps native TeamCreate/Task/SendMessage with a proven 4-phase protocol that eliminates 75% of integration errors in multi-agent tasks.
Research Basis
Based on 400+ controlled experiments comparing 7 coordination strategies:
- Naive multi-agent: 0.571 composite quality score
- Contract-First Map-Reduce: 0.871 composite quality score (+52.5%)
- The contract alone accounts for the ENTIRE quality improvement
- Validated across 2-64 agent configurations
The Protocol
Phase 1: CONTRACT GENERATION (Team Lead, ~5% of time)
Before spawning ANY worker agent, the team lead MUST create a Contract Document.
The Contract Document must contain:
# === SHARED CONTRACT: [Project Name] ===
## 1. MODULE MANIFEST
For EVERY module/section an agent will produce:
- Exact filename
- Purpose (1 sentence)
- ALL exported names (exact spelling, exact case)
## 2. INTERFACE DEFINITIONS
For EVERY cross-module reference:
- Exact function/class name
- Exact parameter names and types
- Exact return type
- Source module -> consuming module(s)
## 3. SHARED TYPES
For EVERY data structure shared across modules:
- Exact field names and types
- Validation rules
- Serialization format
## 4. STYLE GUIDE
- Naming: snake_case for functions/variables, PascalCase for classes
- Indentation: [N] spaces
- Docstrings: [Google/NumPy/Sphinx] style on all public functions/classes
- Error handling: exact exception types
- Import convention: "from module import Name"
- Language-specific conventions
## 5. DEPENDENCY MAP
- Which modules import from which
- Execution order constraints (if any)
- Shared state / global configuration
## 6. SECTION BOUNDARIES
For EACH section assigned to an agent:
- What it must produce (exact deliverables)
- What it imports from other sections (exact names)
- What it exports for other sections (exact names)
- How it connects to adjacent sections (transitions, API calls, imports)
Contract Quality Checklist:
- Every exported name is spelled out exactly
- Every cross-module import has a matching export
- Style guide is specific (not "be consistent" but "use snake_case")
- Shared types have exact field names and types
- No ambiguity - an agent reading only the contract can produce correct code
What ships with it
6 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.
- 12d ago First seen · 203 lines · 68 tokens per session scan A ffa6b013a1c2
contract-first-agents is a skill published in the GitHub repository happycapy-ai/Happycapy-skills (139 stars, last pushed 8d ago), licensed MIT. It adds 68 tokens to every session and 1,568 once invoked, about $0.0003 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 2026-08-30.
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