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 Koredotcom/agents-mcp-tools --skill arch-experience-contractgit clone --depth 1 https://github.com/Koredotcom/agents-mcp-toolsWrote 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/koredotcom/agents-mcp-tools/arch-experience-contract)<a href="https://agentmods.dev/skills/koredotcom/agents-mcp-tools/arch-experience-contract"><img src="https://agentmods.dev/badge/skills/koredotcom/agents-mcp-tools/arch-experience-contract/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/koredotcom/agents-mcp-tools/arch-experience-contract"><img src="https://agentmods.dev/badge/skills/koredotcom/agents-mcp-tools/arch-experience-contract.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 | $0.00087 | $0.00794 |
| Opus 5.5 | $0.00035 | $0.00318 |
| Sonnet 5.5 | $0.00017 | $0.00159 |
| Haiku 4.5 | $0.00009 | $0.00079 |
Grade A, and why
arch-experience-contract 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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Experience contract
Every later decision (topology, model, history mode, guardrails, voice settings) is checked against this contract. Without it, nobody can say when the agent is good enough, and optimization has no target. Write it in week one.
Gather the evidence
- Read the project's agents and topology:
debug_get_flow_graph(afterdebug_load_agent, or withprojectId,sessionIdandsource: "historical") (Mermaid,includeAppGraph),platform_package_modelon the exported package (path). - If sessions exist, use
debug_session_history(action: "list",range: "7d") andplatform_analyticsto estimate intent share, turns per conversation, model calls per turn and latency. Analyze a few representative sessions withdebug_analyze_session. - Ask the developer for what the data cannot show: business success criteria, compliance steps, channels and languages.
Output contract
- Story: two or three sentences on what the agent is for and who uses it.
- Contract table, one row per top intent (the 5–10 that make up most traffic): intent | share of sessions | example caller utterance | success definition you can check in a transcript or tool call | channel | p50 and p95 first-response latency target | model calls per turn budget | input tokens per turn budget | steps that must be deterministic | failure behavior.
- Measured or inferred: mark every number. Measured numbers cite the sessions; inferred numbers say what they were inferred from.
- Gap list: the intents furthest from target today, each with one example session ID.
- Evidence plan: which eval set will prove each line (see
arch-eval-catalog). - Glossary for any platform term used.
- Confidence and gaps: which numbers rest on few sessions, and what data was not available.
Do not shorten the table. If long, write it to docs/experience-contract.md in the project folder.
Why budgets drive design
Every design choice spends from the same budget. Show the developer the cost before they commit:
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.
- 1mo ago First seen · 58 lines · 87 tokens per session scan A a6523506b4d3
arch-experience-contract is a skill published in the GitHub repository Koredotcom/agents-mcp-tools (4 stars, last pushed 1mo ago), licensed MIT. It adds 87 tokens to every session and 794 once invoked, about $0.0003 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 2026-10-09.
arch-experience-contract compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| arch-experience-contractKoredotcom/agents-mcp-tools | Skill | 4 | 1mo ago | MIT | A | 87 | Codex |
| imagegenopenai/codex | Skill | 135k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 80k | 6d ago | MIT | A | 200 | Claude Code, Codex |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |