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 granoflow/granoflow-mcp-server --skill granoflow-first-run-importgit clone --depth 1 https://github.com/granoflow/granoflow-mcp-serverWrote 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/granoflow/granoflow-mcp-server/granoflow-first-run-import)<a href="https://agentmods.dev/skills/granoflow/granoflow-mcp-server/granoflow-first-run-import"><img src="https://agentmods.dev/badge/skills/granoflow/granoflow-mcp-server/granoflow-first-run-import/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/granoflow/granoflow-mcp-server/granoflow-first-run-import"><img src="https://agentmods.dev/badge/skills/granoflow/granoflow-mcp-server/granoflow-first-run-import.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 | $0.00069 | $0.02346 |
| Opus 5 | $0.00034 | $0.01173 |
| Sonnet 5 | $0.00014 | $0.00469 |
| Haiku 4.5 | $0.00007 | $0.00235 |
Grade A, and why
granoflow-first-run-import 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 10d 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 — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Granoflow First-Run Import
Use this skill when the user asks:
Initialize Granoflow
Initialize Granoflow and import data
Also accept equivalent requests in the user's language, including:
初始化 Granoflow
初始化 Granoflow 并导入数据
Public README and directory-listing copy should use the English prompt. Runtime behavior is multilingual: parse equivalent user commands in the user's language, and continue prompts, confirmations, preview summaries, blockers, task descriptions, and final reports in the user's language by default unless the user asks otherwise.
This workflow initializes the Granoflow connection, offers the fixed
granoflow_product_builder_v1 capability pack as one decision, and optionally imports data from Cursor,
Codex, Hermes, or other agents. It is an onboarding orchestration skill. A
plain initialization request may stop after connection and capability setup;
data import runs only when requested.
This skill does not read hidden chat histories, scrape browser history, access cloud accounts by itself, or write directly to Granoflow storage. It uses only user-provided or host-exposed sources and Granoflow Local HTTP API tools.
Keyword
#first-run-import#initialize-granoflow#初始化-granoflow
Required Base Skill
Before applying this workflow, read the bundled
granoflow-agent-workflow skill. Reuse its rules for:
- task completion and task reviews;
- review-card authoring;
- long-term work memory;
- waiting for user input;
- weekly/monthly review drafting;
- project and milestone context stewardship.
Do not duplicate those detailed rules here. This skill sequences the import.
An import is not a daily review. If the user separately asks to review a day,
call granoflow_daily_review_skill; do not draft or write it during import.
Fixed Sequence
Follow this order. Do not redesign the workflow from scratch.
- Connect and inspect Granoflow capabilities.
- Offer Markdown→HTML acceptance toolchain consent (Pandoc + Mermaid CLI; separate from the skill pack; token-free local convert).
- Offer the complete unavailable portion of the fixed capability pack as one decision.
- Stop after setup when the user requested initialization only.
- Discover import sources and record authorization when import was requested.
- Build a source ledger.
- Create a local import preview document.
- Propose projects and monthly milestones.
- Propose task candidates.
- Propose review-card candidates.
- Ask for confirmation before any data write.
- Import in bounded batches.
- Read back created or reused objects.
- Backfill project and milestone descriptions.
- Report imported, skipped, failed, and deferred items.
What ships with it
7 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.
- 10d ago First seen · 290 lines · 69 tokens per session scan A d88c43244a82
granoflow-first-run-import is a skill published in the GitHub repository granoflow/granoflow-mcp-server (0 stars, last pushed 1mo ago), licensed MIT. It adds 69 tokens to every session and 2,346 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 2026-08-31.
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