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 honeydew-ai/honeydew-ai-coding-agents-plugins --skill attribute-creationgit clone --depth 1 https://github.com/honeydew-ai/honeydew-ai-coding-agents-pluginsWrote 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/honeydew-ai/honeydew-ai-coding-agents-plugins/attribute-creation)<a href="https://agentmods.dev/skills/honeydew-ai/honeydew-ai-coding-agents-plugins/attribute-creation"><img src="https://agentmods.dev/badge/skills/honeydew-ai/honeydew-ai-coding-agents-plugins/attribute-creation/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/honeydew-ai/honeydew-ai-coding-agents-plugins/attribute-creation"><img src="https://agentmods.dev/badge/skills/honeydew-ai/honeydew-ai-coding-agents-plugins/attribute-creation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00038 | $0.01736 |
| Opus 5 | $0.00019 | $0.00868 |
| Sonnet 5 | $0.00008 | $0.00347 |
| Haiku 4.5 | $0.00004 | $0.00174 |
Grade A, and why
attribute-creation 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 9d 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 — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prerequisites
Before creating attributes, ensure you are on the correct workspace and branch. Use get_session_workspace_and_branch to check the current session context. For development work, create a branch with create_workspace_branch (the session switches automatically). See the workspace-branch skill for the full workspace/branch tool reference.
Overview
A Honeydew calculated attribute is a virtual, per-row column defined on an entity — analogous to an expression in a SQL SELECT clause.
It is evaluated once per row, not aggregated. In BI tools it surfaces as a dimension users can group, filter, and slice by.
Use a calculated attribute when:
- You need a reusable, governed column that doesn't exist verbatim in the source table (e.g.
net_price,customer_tier,order_month) - The value should be consistent everywhere it's consumed, not recalculated ad-hoc in each dashboard
- You want to expose a clean, business-friendly label for a raw or encoded column
Do not use a calculated attribute for aggregations across rows — use a metric instead.
Building the SQL Expression
Core Rules
- Use simple expressions — easy to understand
- Use the SQL dialect of the connected data warehouse (Snowflake, Databricks, or BigQuery)
- Use
entity.fieldformat for all attribute/metric references - No joins or subqueries — simple expressions only (window functions allowed)
- Use fully qualified column names —
orders.amount, not justamount - Prefer ILIKE over LIKE for case-insensitive matching
See reference.md for: SQL functions, JSON/semi-structured data, geography, data types, full YAML schema, attribute types, time grain, and format strings.
Creation Methods
Primary: create_object with YAML
Call create_object with yaml_text:
type: calculated_attribute
entity: <entity_name>
name: <snake_case_name>
display_name: <Human Readable Name>
description: |-
<business description>
owner: <owner_email_or_team>
datatype: string|number|float|bool|date|timestamp|time
sql: |-
<SQL expression>
folder: <optional folder path>
What ships with it
2 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.
- 9d ago First seen · 162 lines · 38 tokens per session scan A ed5fdff02ebd
attribute-creation is a skill published in the GitHub repository honeydew-ai/honeydew-ai-coding-agents-plugins (39 stars, last pushed 9d ago), licensed Apache-2.0. It adds 38 tokens to every session and 1,736 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 2026-08-30.
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