Borrowing it
Nothing to install: this file belongs to 1cFE/fusion-tea. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/1cFE/fusion-tea/main/.agents/skills/orchestrate-modeling/SKILL.mdgit clone --depth 1 https://github.com/1cFE/fusion-teaWrote 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/1cfe/fusion-tea/orchestrate-modeling)<a href="https://agentmods.dev/skills/1cfe/fusion-tea/orchestrate-modeling"><img src="https://agentmods.dev/badge/skills/1cfe/fusion-tea/orchestrate-modeling/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/1cfe/fusion-tea/orchestrate-modeling"><img src="https://agentmods.dev/badge/skills/1cfe/fusion-tea/orchestrate-modeling.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 | $0.00018 | $0.01082 |
| Opus 5.5 | $0.00007 | $0.00433 |
| Sonnet 5.5 | $0.00004 | $0.00216 |
| Haiku 4.5 | $0.00002 | $0.00108 |
Grade A, and why
orchestrate-modeling 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 24d 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Before executing this skill, read .agentic-mbse/claude.md in Claude Code or .agentic-mbse/codex.md in Codex. Resolve supporting paths from this skill’s installed directory; keep generated outputs in the project or a temporary directory. Read referenced skills from .agents/skills/<name>/SKILL.md when their guidance is needed.
Orchestrate Modeling
Drive a modeling objective through the appropriate artifact and evidence contracts in modeling_project/MODELING_PROCESS.md. Keep the outcome and owner decisions clear, choose work from evidence, and select independent review using the canonical process thresholds. The owner decides whether to close or archive.
Orient
Read the objective and relevant native work/epic records, project requirements, architecture decisions, and sources. Decide whether the work is Trivial, Standard, or Epic. Resume at the earliest unmet obligation based on artifact contents and actual evidence, not filename presence.
Align Once
Alignment is the only planned owner checkpoint. Confirm the intended outcome, supported scope, provenance conflicts, and reserved decisions before launching any stage. Reuse explicit alignment already supplied by the owner or enclosing goal; ask only for unresolved decisions.
Record that authority in work/orchestration/<objective-slug>.md, or cite an existing equivalent alignment record. Preserve owner-originated statements, inherited constraints, and agent choices at their own grades. Keep progress in native item/epic artifacts rather than creating another stage log. Later scope or premise changes need an explicit decision record.
Author Continuity and Delegation
Use one continuing author for a bounded item while its context remains useful. The coordinator may author the item or delegate it. Resume the author after clarifications and repairs; replace it when a distinct job or stale context warrants a fresh start. Stage names do not require new agents.
Give a delegated author a self-contained brief: outcome, relevant artifact/source references, provenance and reserved gates, owned write surfaces, and required evidence. It routes blocking questions to the coordinator and continues independent authorized work. Routine stage approvals are coordinator decisions under this overlay.
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.
- 24d ago Changed · -7 lines 3b2b33fb8a0e
- 1mo ago First seen · 71 lines · 18 tokens per session scan A d01fb6f1bd7a
orchestrate-modeling is a skill published in the GitHub repository 1cFE/fusion-tea (5 stars, last pushed 24d ago), licensed MIT. It adds 18 tokens to every session and 1,082 once invoked, about $0.0001 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 2026-09-29.
orchestrate-modeling compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| orchestrate-modeling1cFE/fusion-tea | Skill | 5 | 24d ago | MIT | A | 18 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |