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 Snowflake-Labs/cocoplus --skill grove-glossary-viewgit clone --depth 1 https://github.com/Snowflake-Labs/cocoplusWrote 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/snowflake-labs/cocoplus/grove-glossary-view)<a href="https://agentmods.dev/skills/snowflake-labs/cocoplus/grove-glossary-view"><img src="https://agentmods.dev/badge/skills/snowflake-labs/cocoplus/grove-glossary-view/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/snowflake-labs/cocoplus/grove-glossary-view"><img src="https://agentmods.dev/badge/skills/snowflake-labs/cocoplus/grove-glossary-view.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 | $0.00033 | $0.00640 |
| Opus 5 | $0.00016 | $0.00320 |
| Sonnet 5 | $0.00007 | $0.00128 |
| Haiku 4.5 | $0.00003 | $0.00064 |
Grade A, and why
grove-glossary-view 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 7d 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
$grove glossary view
Display the current glossary at .cocoplus/grove/language/glossary.md in alphabetical order.
Preconditions
.cocoplus/must be initialized
Step-by-Step Behavior
-
Verify initialization: Check
.cocoplus/exists. If not, output: "CocoPlus not initialized. Run$pod initfirst." and exit. -
Check glossary file: Read
.cocoplus/grove/language/glossary.md.- If the file does not exist or is empty, output:
and exit.Glossary is empty. Run $grove glossary to propose and add domain terms from project artifacts.
- If the file does not exist or is empty, output:
-
Parse and sort entries alphabetically by term name.
-
Display each entry:
CocoGrove Ubiquitous Language Glossary
[N] terms | Last updated: [date from most recent git commit on glossary.md]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
accuracy baseline
Definition: The measured accuracy of a model version used as the reference
point for evaluating whether a new version improves or regresses.
Aliases: evaluation baseline, baseline score
Associated functions: ai-classifier-v2, sentiment-scorer
Added: 2026-05-01
churn propensity
Definition: A numeric score (0-1) representing a customer's likelihood to
cancel or disengage within the next 90-day period.
Aliases: churn score, propensity score
Associated functions: churn-predictor
Added: 2026-04-28
gold standard dataset
Definition: A manually labeled dataset used as the canonical evaluation set
for all accuracy measurements on a Cortex AI function.
Aliases: labeled test set, evaluation set
Associated functions: sentiment-scorer, ai-classifier-v2
Added: 2026-04-20
[...continues alphabetically...]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Run $grove glossary to add new terms.
Error Cases
- Glossary file missing or empty: Prompt user to run
$grove glossary - Cannot read glossary file: Output filesystem error
Exit Criteria
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.
- 7d ago First seen · 84 lines · 33 tokens per session scan A 3bb5dfb13a91
grove-glossary-view is a skill published in the GitHub repository Snowflake-Labs/cocoplus (720 stars, last pushed 8d ago), licensed MIT. It adds 33 tokens to every session and 640 once invoked, about $0.0002 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 2026-09-03.
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