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 agentmods add commands/mixpanel/ai-plugins/template-dashboardgit clone --depth 1 https://github.com/mixpanel/ai-pluginsWhat 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 | $0.00000 | $0.01499 |
| Opus 5 | $0.00000 | $0.00749 |
| Sonnet 5 | $0.00000 | $0.00300 |
| Haiku 4.5 | $0.00000 | $0.00150 |
Grade A, and why
template-dashboard 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 2d 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Command: Template Dashboard
Reproduces a reference dashboard in another project, renames it, and optionally updates the description. This is the core enabler for standardized onboarding dashboard templates across accounts.
Key API fact: duplication only copies within the source project — it has no target-project parameter. So genuine cross-project templating cannot be done by duplicating. It is done by reconstructing the board in the target project: read the source layout, re-mint each report's query in the target project, then create the board there. This command does that.
Contents
- Intake
- Routing: same project vs. cross project
- Path A — Same-project copy
- Path B — Cross-project reconstruction (read → portability check → re-mint → build → verify)
- Batch template (multiple target projects)
- Output
- Error Handling
Intake
Required:
- Source dashboard ID — the reference board to clone
- Source project ID — where the reference lives (may differ from session
project_id) - Target project ID(s) — where the clone(s) should land
Optional: 4. New title — defaults to "[Original Title]" 5. New description — defaults to original description with a "[Templated from [source]]" note appended 6. Batch mode — template to multiple target projects at once
If the user doesn't provide source/target explicitly, ask. Use the session's projects list to help them pick. Accept projects and boards by name or ID.
Routing: same project vs. cross project
- Target project == source project → this is a plain copy. Use Path A. Fast, exact, preserves everything.
- Target project != source project → use the reconstruction flow (Path B). Duplication cannot reach another project.
Path A — Same-project copy
- Validate source. Read its full layout; preview title, description, report count, row count. If not found → error, stop.
- Duplicate within the source project, applying
title/descriptionoverrides if provided. - Verify (per the Validate every write rule) and report the new dashboard ID. Done.
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.
- 2d ago First seen · 139 lines · 0 tokens per session scan A fdf9ef487334
template-dashboard is a command published in the GitHub repository mixpanel/ai-plugins (15 stars, last pushed 8d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,499 tokens. 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
constitution
Create or update the project constitution from interactive or provided principle inputs.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.