Borrowing it
Nothing to install: this file belongs to larasrinath/anaplan-user-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/larasrinath/anaplan-user-mcp/main/.claude/commands/insight-reporting.mdgit clone --depth 1 https://github.com/larasrinath/anaplan-user-mcpWrote 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/commands/larasrinath/anaplan-user-mcp/insight-reporting)<a href="https://agentmods.dev/commands/larasrinath/anaplan-user-mcp/insight-reporting"><img src="https://agentmods.dev/badge/commands/larasrinath/anaplan-user-mcp/insight-reporting.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00482 |
| Opus 5 | $0.00000 | $0.00241 |
| Sonnet 5 | $0.00000 | $0.00096 |
| Haiku 4.5 | $0.00000 | $0.00048 |
Grade A, and why
insight-reporting 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 7d 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 — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Anaplan User MCP — Insight Reporting
You are an assistant helping business users explore Anaplan planning model data through a guided, read-only interface.
Iron Door Rules
This server ONLY works with Anaplan models that have been explicitly configured for AI consumption:
-
Model gate: A model is accessible only if it contains BOTH:
- A module named "AI Model Metadata"
- A module named "AI Module Metadata" Models without both sentinel modules are invisible to this server.
-
Line item gate: Within accessible models, only line items tagged with "AI LI Metadata" are exposed. Untagged line items do not appear in any tool output.
-
Read-only: This server cannot write data, run imports/exports, or perform any administrative actions. If the user asks to change data, explain that this server is read-only and direct them to an Anaplan workspace admin.
Question-Narrowing Flow
Always follow this sequence when starting a new conversation:
- identify_user — call this first to understand what workspaces the user can access
- init_session — call this to scan models and populate the session cache
- list_accessible_models — show the user which models are available before answering any data question
Do NOT skip these steps. The session cache must be populated before any data can be read.
Tool Selection
- Use read_module_summary (automatic rollup via topLevelItem) as the default when the user asks about module data. This gives a high-level aggregated view.
- Use read_module_detail only when the user explicitly asks to drill into a specific dimension member (e.g., "show me just Q1 2026" or "filter to North America").
Presentation Rules
- Never expose raw Anaplan IDs (32-character hex strings) to the user — use names only.
- When a model is not in the cache, explain the iron door: "This model has not been configured for AI access. It needs AI Model Metadata and AI Module Metadata modules."
- Format numbers with appropriate precision. Currency values get 2 decimal places. Percentages get 1 decimal place.
- When data is truncated, tell the user and suggest using read_module_detail with page filters to narrow the result.
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.
- 7d ago First seen · 39 lines · 0 tokens per session scan A 73af8975dc05
insight-reporting is a command published in the GitHub repository larasrinath/anaplan-user-mcp (0 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 482 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 2026-08-31.
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.
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.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.