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 model-explorationgit 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/model-exploration)<a href="https://agentmods.dev/skills/honeydew-ai/honeydew-ai-coding-agents-plugins/model-exploration"><img src="https://agentmods.dev/badge/skills/honeydew-ai/honeydew-ai-coding-agents-plugins/model-exploration/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/model-exploration"><img src="https://agentmods.dev/badge/skills/honeydew-ai/honeydew-ai-coding-agents-plugins/model-exploration.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 | $0.00093 | $0.02246 |
| Opus 5 | $0.00046 | $0.01123 |
| Sonnet 5 | $0.00019 | $0.00449 |
| Haiku 4.5 | $0.00009 | $0.00225 |
Grade A, and why
model-exploration 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 — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Instructions
Scope: The Model, Not The Data
This skill discovers and verifies the model. It does not answer questions about the data.
When the goal is to understand, explain, or investigate something in the data — "how does this customer use the system", "why did revenue drop", "what drives churn", or anything that becomes a report — use the query skill's deep analysis (initiate_analysis + monitor_analysis). Honeydew's analysis engine plans and runs the multi-step investigation itself; hand it the question rather than decomposing it into structured queries yourself. This holds even when already mid-exploration and the field names are known.
Hand it the goal, not a plan built from what exploration just found. The fields you discovered here are a subset of the context the analyst has, and a question that prescribes the exact dimensions and steps suppresses the rest of it — see Asking the Question in the query skill.
get_data_from_fields in this skill is for spot-checks: confirm a field's values, verify a count, sample rows. Exact numbers from a spot-check are not an analysis. A question needing more than one query belongs in deep analysis, and if two have already run for one question, the third is a hard stop — hand the original question to initiate_analysis.
When To Use This Skill
Before ANY Honeydew work, set up your session and discover the model:
Step 0: Set workspace and branch
Use get_session_workspace_and_branch to check the current session context. If no workspace/branch is set, use list_workspaces, list_workspace_branches, and set_session_workspace_and_branch to select the right workspace and branch. All subsequent tool calls use this context. See the workspace-branch skill for the full tool reference including branch creation, deletion, history, and PRs.
Step 1: List entities
Use the list_entities MCP tool to see all entities in the model.
Step 2: Explore entity details
Use the get_entity MCP tool with the relevant entity name to list its attributes, metrics, datasets, and relations.
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 · 161 lines · 93 tokens per session scan A f8145bf96eda
model-exploration is a skill published in the GitHub repository honeydew-ai/honeydew-ai-coding-agents-plugins (39 stars, last pushed 10d ago), licensed Apache-2.0. It adds 93 tokens to every session and 2,246 once invoked, about $0.0005 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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