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 skills/mondaycom/mcp/forecastnpx skills add mondaycom/mcp --skill forecastgit clone --depth 1 https://github.com/mondaycom/mcpWhat 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 | $0.00102 | $0.03545 |
| Opus 5 | $0.00051 | $0.01773 |
| Sonnet 5 | $0.00020 | $0.00709 |
| Haiku 4.5 | $0.00010 | $0.00354 |
Grade A, and why
forecast 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 — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Forecast Dashboard
Builds a native monday dashboard that renders the pipeline as a forecast — committed / best-case / pipeline / closed-won, grouped by stage × close month. Replaces the "export to CSV and pivot it" pattern that sales ops leaders do manually every Monday.
Flow: Trigger → Gather → Synthesize → Publish (α, default) → Share (β, opt-in) → Proactive extension (opt-in, hygiene fix).
Input
- Optional: board name / ID + forecast period (e.g., "Q2 2026", "next 90 days").
- Optional: pre-declared mode (Default / Silent / Proactive).
Output
- α (default): A native monday
create_dashboardwith widgets per bucket + URL. - β (Share): Viewer-permission grant to sales leader via
all_monday_api+create_notification. - Proactive extension: Hygiene fix — if a non-closed deal is missing close date,
change_item_column_values(with batched user confirm) to set a placeholder OR post a prompt update asking the owner to fill it. Missing-amount items are flagged in the dashboard description and a hygiene update is posted on the item, but the amount column itself is never written (forecast integrity rail).
Knowledge
- Bucket definitions: closed-won / committed / best-case / pipeline (§ Step 5).
- Shared artifact conventions (see Shared patterns section below).
Tools (MCP)
get_user_context,list_workspaces,search— board resolution.get_board_info,get_column_type_info— schema + column types (stage/amount/close-date/forecast-category).get_board_items_page— paginated pull.board_insights— aggregate fallback.create_dashboard,create_widget— α publish.create_doc— fallback for non-admins (see Error handling).create_notification,list_users_and_teams— β share.create_column— add a forecast-category column only if required to render the dashboard.change_item_column_values— proactive hygiene fix.all_monday_api— escape hatch for dashboard permissions, idempotency GraphQL query, and doc updates.
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.
- 2d ago First seen · 278 lines · 102 tokens per session scan A 6b3531b18408
forecast is a skill published in the GitHub repository mondaycom/mcp (421 stars, last pushed 7d ago), licensed MIT. It adds 102 tokens to every session and 3,545 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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