TheHive (thehive-project.org). Use this skill for ANY TheHive request — reading, creating, and updating data. Whenever a task involves TheHive, use this skill instead of calling the API directly.
Data & analysis
HoneyHive
Try itHoneyHive (honeyhive.ai). Use this skill for ANY HoneyHive request — reading, creating, updating, and deleting data. Whenever a task involves HoneyHive, use this skill instead of calling the API directly.
What it does
HoneyHive (honeyhive.ai). Use this skill for ANY HoneyHive request — reading, creating, updating, and deleting data. Whenever a task involves HoneyHive, use this skill instead of calling the API directly.
The skill document
HoneyHive
Operate HoneyHive through your OOMOL-connected account. This skill calls the honeyhive connector with the oo CLI; OOMOL injects credentials server-side, so you never handle raw tokens.
Running an action
Assume the user has already installed the oo CLI, signed in, and connected HoneyHive. Do not run oo auth login or open the connection URL proactively — just run the action. Fall back to First-time setup only when a command actually fails with an auth or connection error.
1. Inspect the contract to get the authoritative input/output schema before building a payload:
oo connector schema "honeyhive" --action ""
2. Run the action with a JSON payload that matches the input schema:
oo connector run "honeyhive" --action "" --data '' --json
--datatakes a JSON object string or@path/to/file.json; omit it to send{}.- The response is
{ "data": ..., "meta": { "executionId": "..." } }; the execution id lives undermeta.executionId.
Each action is listed below with a one-line description; actions that change state carry a [write] or [destructive] tag. Before constructing --data, fetch the action's live schema with oo connector schema to get its authoritative input fields.
Available actions
add_datapoints— Create datapoints from raw JSON objects and add them to a HoneyHive dataset using a field mapping. [write]create_dataset— Create a HoneyHive dataset with an optional name, description, and initial datapoint identifiers. [write]delete_dataset— Permanently delete a HoneyHive dataset by its unique identifier. [destructive]list_datasets— List HoneyHive datasets in the API key's project, optionally filtering by dataset ID or exact name.remove_datapoint— Remove a datapoint association from a HoneyHive dataset without deleting the datapoint itself. [destructive]update_dataset— Update a HoneyHive dataset's name, description, or complete datapoint identifier list. [write]
Safety
- Untagged actions are reads (get / list / search) — safe to run directly.
- Actions tagged
[write]change HoneyHive state — confirm the exact payload and effect with the user before running. - Actions tagged
[destructive]remove or overwrite data — always confirm the target and get explicit approval first.
First-time setup
These are one-time steps — do not repeat them on every call. Run a step only when a command fails for the matching reason.
-
oo: command not found— install the oo CLI (other platforms: ):curl -fsSL https://cli.oomol.com/install.sh | bash # macOS / Linuxirm https://cli.oomol.com/install.ps1 | iex # Windows PowerShell -
Not signed in / authentication error — sign in to your OOMOL account once:
oo auth login -
scope_missing/credential_expired/app_not_ready/app_not_found— HoneyHive is not connected, or the connection expired or lacks a scope. Connect once (auth type: API key) at:https://console.oomol.com/app-connections?provider=honeyhive -
HTTP 402 /
OOMOL_INSUFFICIENT_CREDIT— billing stop. Recharge athttps://console.oomol.com/billing/token-rechargebefore retrying.
Resources
- HoneyHive homepage: https://www.honeyhive.ai/
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