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-review-card-draftgit 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-review-card-draft)<a href="https://agentmods.dev/skills/granoflow/granoflow-mcp-server/granoflow-review-card-draft"><img src="https://agentmods.dev/badge/skills/granoflow/granoflow-mcp-server/granoflow-review-card-draft/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-review-card-draft"><img src="https://agentmods.dev/badge/skills/granoflow/granoflow-mcp-server/granoflow-review-card-draft.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 | $0.00052 | $0.03662 |
| Opus 5 | $0.00026 | $0.01831 |
| Sonnet 5 | $0.00010 | $0.00732 |
| Haiku 4.5 | $0.00005 | $0.00366 |
Grade A, and why
granoflow-review-card-draft 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 — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Granoflow Review Card Authoring
This is the single owner for Granoflow card behavior. Other bundled skills must
delegate here instead of restating card rules. The public MCP tool name remains
granoflow_review_card_draft_skill for compatibility.
Keyword
#review-card#card-draft#note-card
Card Allowlist (fail closed)
Flow-driven Card create/update is allowed only for these themes with a
stable fact_id:
| Theme | kind / id |
Card policy |
|---|---|---|
| Reality Boundary | RB-* |
Note + archived Cards via Knowledge materialization |
| Route UI Truth | UIT-* |
Note + archived Cards via Knowledge materialization |
| Library Knowledge | LIB-pub-* |
Note-first; Card only for a red-line after Assessment |
Generic Review Cards (no RB- / UIT- / LIB-pub- id) are not created
by default. Create them only when the user explicitly asks in the current turn
(e.g. 「做卡片」「做复习卡」「create review cards」).
When retrieval trigger, boundary, or active-recall worthiness is unclear →
do not create a Card. Keep the fact in ledger, Experience, or Note links
(reference_only). Prefer use_existing_knowledge over a second Note for the
same fact_id.
For allowlisted themes, the primary write path is Knowledge assessment →
materialization with defer_active_learning (archived_reference). Do not
use create_note_cards as the primary path for RB / UIT / LIB.
Required Flow
-
Confirm the target task exists and is not deleted. Project and inbox tasks are both eligible when the running App advertises inbox authoring; every operation remains linked to a task.
Checkpoints:
- Stop if target task is missing or deleted; every operation remains linked to a task.
-
Summarize the proposed card set's core knowledge in one short paragraph.
-
Call
granoflow_review_card_similarwith that summary. Supply up to 12 discriminating keywords so the App can fall back when vector search is disabled, unavailable, or produces no useful candidates.
What ships with it
5 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 · 292 lines · 52 tokens per session scan A 463695e3f810
granoflow-review-card-draft is a skill published in the GitHub repository granoflow/granoflow-mcp-server (0 stars, last pushed 1mo ago), licensed MIT. It adds 52 tokens to every session and 3,662 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.
Other skills, from other repositories
hr-onboarding
A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".
book-mirror
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…
miniapp
Build a tiny interactive HTML playground only when someone asks to see, play with, or step through a mechanism.
eli5
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.
deck-course-module
A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.
master-yinguang
A reference-based assistant for questions about Yinguang and Pure Land Buddhism, a Buddhist tradition focused on faith, ethical living, and practice connected with rebirth in the Pure Land. It can answer in Yinguang’s historical teaching style.