Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add honeycombio/agent-skill/plugin install honeycombWrote 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/honeycombio/agent-skill/create-honeycomb-board)<a href="https://agentmods.dev/skills/honeycombio/agent-skill/create-honeycomb-board"><img src="https://agentmods.dev/badge/skills/honeycombio/agent-skill/create-honeycomb-board/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/honeycombio/agent-skill/create-honeycomb-board"><img src="https://agentmods.dev/badge/skills/honeycombio/agent-skill/create-honeycomb-board.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 | $0.00104 | $0.01807 |
| Opus 5 | $0.00052 | $0.00903 |
| Sonnet 5 | $0.00021 | $0.00361 |
| Haiku 4.5 | $0.00010 | $0.00181 |
Grade A, and why
create-honeycomb-board 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 — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create a Honeycomb Board
Build a board (dashboard) in Honeycomb using the create_board MCP tool.
There is no update tool — define it well before creating.
When building a board, think about the purpose and time frame involved. Some examples:
- a board for a service. This should be timeless, looking at the service's health, performance, and business metrics. Do not do any problem diagnosis or investigation when building this board. Do not express opinions or summarize graphs in text panels. The board should be a representation of the service's health at whatever moment someone looks at it.
- a board for a feature. This should look at the feature's usage trends, and its impact on the business. This board would have a time frame of 7 days, and would not include any infrastructure metrics or service dependencies.
- a board for a problem. This might be created during an incident, or afterward. This one would have a time frame specific to the incident. It would include investigations, and your opinions about what is happening. Patterns of what to look for are appropriate here.
Workflow
Gather SLOs
Use get_slos to list SLOs in the environment. Relevant SLOs will go on the board as slo panels.
Gather descriptive context
Look at the code and docs (using Read/Grep/Glob) to understand the service or feature. Use this to write a text panel. Link to GitHub or documentation if you can.
This will vary greatly depending on the purpose of the board.
Description of the application and link to the code - great for a service board.
What is the feature, and what business impact does it have? - great for a feature board.
What is the problem, and what is the impact? What patterns do we see? - great for a problem board.
Build candidate queries
Get Honeycomb context: Call get_workspace_context for available environments. Use get_environment to find datasets — each dataset corresponds to an OTEL_SERVICE_NAME.
Code context: Look at the language and any custom attributes (often prefixed app.). Custom fields are prime candidates for breakdowns and business metrics.
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.
- 10d ago First seen · 162 lines · 104 tokens per session scan A 29dce09cf9ed
create-honeycomb-board is a skill published in the GitHub repository honeycombio/agent-skill (22 stars, last pushed 13d ago), licensed MIT. It adds 104 tokens to every session and 1,807 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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