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/run-goal/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/run-goal)<a href="https://agentmods.dev/skills/1cfe/fusion-tea/run-goal"><img src="https://agentmods.dev/badge/skills/1cfe/fusion-tea/run-goal/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/run-goal"><img src="https://agentmods.dev/badge/skills/1cfe/fusion-tea/run-goal.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 | $0.00139 | $0.01634 |
| Opus 5.5 | $0.00056 | $0.00654 |
| Sonnet 5.5 | $0.00028 | $0.00327 |
| Haiku 4.5 | $0.00014 | $0.00163 |
Grade A, and why
run-goal 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 23d 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 — 79 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.
Run Goal
A goal is a grounded question pursued in rounds. A round is one agent's bounded attempt at one strategy, running bounded tasks through the native workflows and ending in a written result. Review depth follows the concrete risk triggers in GOAL_RUNBOOK.md § Review scope and evidence reuse.
This file names the roles, picks the mode, and gives dispatch guidance. The procedure lives in work/orchestration/GOAL_RUNBOOK.md; the decisions behind it live in the goal-layer decision record (GOAL_RUNBOOK.md § The decisions behind this). A human operator and an agent follow the same runbook.
Three roles
- Operator — sets the question and holds the gates. Grounds the goal, rules on reserved gates, and closes.
- Round agent — pursues one strategy, scopes and coordinates bounded tasks, writes the result.
- Fresh reviewer — a session that did not do the work. Checks the named uncertainty when independent review is required. A review can cover study dispositions and round assurance without separate sessions.
Which role you are in decides which section you read. GOAL_RUNBOOK.md § What "fresh" means defines the boundary, says who obtains the reviewer on each path, and gives the agent its move when it cannot start a session — read it before either review mode.
Pick the mode
| Mode | When | Go to |
|---|---|---|
ground |
No goal.md, or it is still draft |
GOAL_RUNBOOK.md § Grounding a goal |
round |
A grounded goal, and either no open round or an open round with work left | § Opening and closing a round, then § Running one task |
checkpoint |
A study reading with proposed dispositions, before any semantic follow-up | § The pre-execution disposition checkpoint |
review |
A round result is written | § The fresh review |
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.
- 23d ago Changed 92d63ecc9a44
- 24d ago Changed · +5 lines 87f07b408e85
- 1mo ago Changed · +19 lines 4203d9abcece
- 2mo ago First seen · 55 lines · 139 tokens per session scan A 784dee3cbb2d
run-goal is a skill published in the GitHub repository 1cFE/fusion-tea (5 stars, last pushed 24d ago), licensed MIT. It adds 139 tokens to every session and 1,634 once invoked, about $0.0006 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 2026-08-31.
run-goal compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| run-goal1cFE/fusion-tea | Skill | 5 | 24d ago | MIT | A | 139 | 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 |