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 from-lineagegit 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/from-lineage)<a href="https://agentmods.dev/skills/sfc-gh-abannerjee/snowgram/from-lineage"><img src="https://agentmods.dev/badge/skills/sfc-gh-abannerjee/snowgram/from-lineage/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/sfc-gh-abannerjee/snowgram/from-lineage"><img src="https://agentmods.dev/badge/skills/sfc-gh-abannerjee/snowgram/from-lineage.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 | $0.00041 | $0.01898 |
| Opus 5.5 | $0.00016 | $0.00759 |
| Sonnet 5.5 | $0.00008 | $0.00380 |
| Haiku 4.5 | $0.00004 | $0.00190 |
Grade A, and why
snowflake-architecture-diagram-from-lineage 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 2mo 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 — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
From-lineage mode
Generates a diagram of a real, deployed data flow by walking cortex lineage from a target object. Works in any Snowflake account because it depends on lineage metadata only — not on SnowGram-specific deployed objects.
Use cases
- "Show me everything that feeds my dashboard table"
- "Diagram the upstream of
MY_DB.MART.SALES_DAILY" - "What does my fact table depend on, three hops up?"
- "Generate documentation for our actual production pipeline"
Prerequisites
- Active
cortexconnection - Current role has
USAGEon the target object's database/schema - Target object exists (table, view, materialized view, dynamic table, or stream)
Path resolution (do this once)
This sub-skill uses $SKILL_DIR/... paths. Resolve them by sourcing the canonical helper. The absolute path to that helper is <SKILL_BASE_DIR>/assets/scripts/skill_paths.sh, where <SKILL_BASE_DIR> is the path the skill loader prints as Base directory for this skill: when this skill is loaded (or the path returned by cortex skill list for snowflake-architecture-diagram).
source "<SKILL_BASE_DIR>/assets/scripts/skill_paths.sh"
# Now: $SKILL_DIR, $TEMPLATES_DIR, $COMPOSER_DIR, $VIEWER_DIR, $SCRIPTS_DIR,
# $STATE_FILE are all set. See the parent SKILL.md for the full table.
For Python helpers, import assets/scripts/skill_paths.py analogously. The parent SKILL.md shows the importlib pattern.
Workflow
Step 1: Identify the target object
The user should provide a fully-qualified name (DATABASE.SCHEMA.NAME). If they provide a partial name, use cortex search object "<name>" to disambiguate:
cortex search object "<partial name>" --types table,view,dynamic_table
⚠️ STOP: confirm the chosen FQN with the user.
Step 2: Walk the lineage tree
cortex lineage <FQN> --direction upstream --distance 5 --tree
Default direction is upstream (what feeds the object). For reverse exploration ("what consumes this?"), use --direction downstream. For both, run two passes.
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.
- 2mo ago First seen · 184 lines · 41 tokens per session scan A 3ea1794dc519
snowflake-architecture-diagram-from-lineage is a skill published in the GitHub repository sfc-gh-abannerjee/SnowGram (2 stars, last pushed 1mo ago), licensed MIT. It adds 41 tokens to every session and 1,898 once invoked, about $0.0002 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.
snowflake-architecture-diagram-from-lineage compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| snowflake-architecture-diagram-from-lineagesfc-gh-abannerjee/SnowGram | Skill | 2 | 1mo ago | MIT | A | 41 | Claude Code, Codex |
| create-prprisma/orm | Skill | 48k | yesterday | Apache-2.0 | A | 48 | Claude Code, Codex |
| schema-explorationlangchain-ai/deepagents | Skill | 31k | yesterday | MIT | A | 57 | Claude Code, Codex |
| atlas-mssqlariga/atlas | Skill | 8.8k | yesterday | Apache-2.0 | A | 163 | Claude Code |
| ha-data-storesshiwenwen/hope-agent | Skill | 1.9k | yesterday | MIT | A | 115 | Claude Code, Codex |
| nornicdb-cypher-queriesorneryd/NornicDB | Skill | 923 | today | MIT | A | 79 | Claude Code, Codex |
| volcengine-rds-postgresqlbytedance/agentkit-samples | Skill | 484 | today | Apache-2.0 | A | 63 | Claude Code, Codex |