ga4-events-edit
Skill0 starsChanged 6 months agoMITView on GitHub
Edit GA4 events via the Admin API. Wraps EventEditRule (rename/rewrite incoming events, modify parameters) and EventCreateRule (synthesize new events from existing ones). Per-data-stream. Triggers: 'rename an event', 'change event parameter', 'create event rule', 'modify event'.
In this repository13 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- ga4-audiencesSkill
- ga4-auditSkill
- ga4-contextSkill
- ga4-custom-defsSkill
- ga4-custom-reportSkill
- ga4-eventsSkill
- ga4-funnelSkill
- ga4-key-eventsSkill
- ga4-segment-defsSkill
- ga4-segmentsSkill
- ga4Skill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 28
If the user does not pass --stream, list streams with python scripts/ga4_admin.py --property <id> --streams --json and ask them to pick.
- Very specific: line 88
Every Admin write is gated inside ga4_admin.py: it prints a scrubbed proposal and asks y/N for that operation.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
GA4: Edit Events
EventCreateRule and EventEditRule live per data stream, not per property,
so every command needs both --property and --stream.
Scope required: analytics.edit. If the user is on read-only auth, instruct
them to run:
gcloud auth application-default login --scopes=https://www.googleapis.com/auth/analytics.edit,https://www.googleapis.com/auth/cloud-platformProcess
- Verify auth:
python scripts/ga4_auth.py --check - If the user does not pass
--stream, list streams withpython scripts/ga4_admin.py --property <id> --streams --jsonand ask them to pick. - For diagnostic-driven proposals, spawn the
ga4-events-editoragent. - Print the resolved rule JSON to the user and ask
y/nbefore any write. - Run the script.
Direct commands
| Intent | Command |
| List rules on a stream | python scripts/ga4_admin.py --property X --stream Y --list-event-rules --json |
| Add an edit rule | python scripts/ga4_admin.py --property X --stream Y --add-edit-rule rule.json --json |
| Add a create rule | python scripts/ga4_admin.py --property X --stream Y --add-create-rule rule.json --json |
| Delete an edit rule | python scripts/ga4_admin.py --rule-name <full> --delete-edit-rule --json |
| Delete a create rule | python scripts/ga4_admin.py --rule-name <full> --delete-create-rule --json |
Rule JSON shapes
EventEditRule (rewrite an existing event):
{
"display_name": "Normalize signup events",
"event_conditions": [
{"field": "event_name", "comparison_type": "EQUAL", "value": "signed_up"}
],
"parameter_mutations": [
{"parameter": "event_name", "parameter_value": "sign_up"}
]
}EventCreateRule (synthesize a new event from another):
{
"destination_event": "engaged_view",
"event_conditions": [
{"field": "event_name", "comparison_type": "EQUAL", "value": "page_view"},
{"field": "engagement_time_msec", "comparison_type": "GREATER_THAN", "value": "30000"}
],
"source_copy_parameters": true,
"parameter_mutations": []
}Limits and constraints
- v1alpha API - schema may change; recheck on SDK bump.
- Web streams only (per current Admin docs).
- Edit rules run in a defined order; use
reorder_event_edit_rulesto rearrange. - Edit rules cannot modify events produced by create rules.
Common mistakes to flag
- Renaming
purchase- breaks every conversion report and Ads import. Refuse without explicit confirmation in the message. - Mutating
transaction_id- kills duplicate-purchase detection. - Creating a synthesized event whose name collides with a real one - produces double-counting.
Every Admin write is gated inside ga4_admin.py: it prints a scrubbed proposal
and asks y/N for that operation. Run it in an interactive terminal; piped
input, EOF and cancellation refuse the write. There is no bypass flag. MCP
stdio tools provide previews; confirm=true returns confirmation_required
without terminal approval. Never chain writes.
MCP propose_admin_write saves one exact Admin proposal for an expiring, single-use terminal approval. The user must run its approval_command and answer the existing y/N prompt themselves; agents must not supply approval. admin_proposal_status only reads the outcome. There is no MCP execute tool, and confirm=true remains insufficient. Refused or failed proposals cannot be replayed; applied:null means the result is unknown. See docs/APPROVALS.md.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

