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 sfc-gh-abannerjee/SnowGram --skill clarifygit clone --depth 1 https://github.com/sfc-gh-abannerjee/SnowGramWrote 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/sfc-gh-abannerjee/snowgram/clarify)<a href="https://agentmods.dev/skills/sfc-gh-abannerjee/snowgram/clarify"><img src="https://agentmods.dev/badge/skills/sfc-gh-abannerjee/snowgram/clarify.svg" alt="Measured on agentmods" 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 | $0.00126 | $0.01153 |
| Opus 5 | $0.00063 | $0.00576 |
| Sonnet 5 | $0.00025 | $0.00231 |
| Haiku 4.5 | $0.00013 | $0.00115 |
Grade A, and why
clarify_ambiguous_request 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 8d 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clarify ambiguous diagram request
When to invoke
Invoke this skill BEFORE calling any of the COMPOSE_*, SEARCH_COMPONENT_BLOCKS or VALIDATE_MERMAID_SYNTAX tools whenever the user's first message in a thread is a high-level diagram request that lacks enough detail to confidently choose between meaningfully different reference architectures.
Trigger patterns (any one is enough — be liberal, but not blocking):
- The request names only a buzzword: "data platform", "lakehouse", "real-time thing", "ML pipeline" without sources / sinks / scale.
- The request implies multiple plausible architectures (e.g. "ingest customer data" — could be Streaming, Batch DWH, Customer 360, or CDP).
- The request mentions a use case but no specific Snowflake services (e.g. "fraud detection" — could be REALTIME_FINANCIAL_TRANSACTIONS or ML_FEATURE_ENGINEERING depending on volume + freshness needs).
- The user appears new to Snowflake (first message in thread, casual phrasing).
Skip patterns (do NOT invoke):
- The user names a template: "Streaming Data Stack", "Medallion Lakehouse", "Customer 360", any of the 14 reference architectures.
- The user is refining an existing diagram (the conversation thread has prior assistant messages with diagrams).
- The user provides 2+ of {source, destination, mode, scale, latency} — enough specificity to pick a template confidently.
- The user explicitly says "just generate it" / "I don't care, pick one" / "use defaults".
Output format
When invoked, your response MUST replace the normal Sections 1-5 structure with this single-purpose response:
- A short opener acknowledging the request (1 sentence).
- A markdown bulleted list of 2-4 targeted questions. Each bullet is a bold question followed by 2-4 example answers in italics. Examples make the question scannable and lower the cognitive load.
- A closing line: "Once I have these, I'll generate the diagram."
DO NOT emit a mermaid block, JSON Specification, Component Summary
table, or Stats line. The skill output is conversational only — the actual
diagram comes on the FOLLOW-UP turn after the user answers.
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.
- 8d ago First seen · 107 lines · 126 tokens per session scan A f6220a2f0037
clarify_ambiguous_request is a skill published in the GitHub repository sfc-gh-abannerjee/SnowGram (2 stars, last pushed 2mo ago), licensed MIT. It adds 126 tokens to every session and 1,153 once invoked, about $0.0006 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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