collaborative-forecasts

collaborative-forecasts is a skill for Claude Code from PranavNagrecha/AwesomeSalesforceSkills. It costs 118 tokens per session (4,387 once invoked), scanned A, original, no licence file.

A guide to Salesforce Collaborative Forecasts, which help sales teams estimate future revenue using pipeline data, quotas, and manager adjustments.

In plain words
What is it for?
Use it to configure forecast types and categories, rollup methods, quotas, forecast hierarchies, manager adjustments, and pipeline inspection.
Why use it?
It helps standardize how forecasts are calculated and reviewed across sales teams.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the sfskills plugin — 74 skills, 69 commands, 50 agents shipped together

Good fit Use it to configure forecast types and categories, rollup methods, quotas, forecast hierarchies, manager adjustments, and pipeline inspection.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pranavnagrecha/awesomesalesforceskills/collaborative-forecasts
Install

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.

Any agent
npx skills add PranavNagrecha/AwesomeSalesforceSkills --skill collaborative-forecasts
Clone the repo
git clone --depth 1 https://github.com/PranavNagrecha/AwesomeSalesforceSkills

Made for: Claude Code.

Or install sfskills, the plugin that ships this one along with the rest of its 74 skills, 69 commands, 50 agents.

Wrote 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.

agentmods badge for collaborative-forecasts

README.md
[![agentmods](https://agentmods.dev/badge/skills/pranavnagrecha/awesomesalesforceskills/collaborative-forecasts/github.svg)](https://agentmods.dev/skills/pranavnagrecha/awesomesalesforceskills/collaborative-forecasts)
Your own site
<a href="https://agentmods.dev/skills/pranavnagrecha/awesomesalesforceskills/collaborative-forecasts"><img src="https://agentmods.dev/badge/skills/pranavnagrecha/awesomesalesforceskills/collaborative-forecasts/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for collaborative-forecasts

Your own site · 80×15
<a href="https://agentmods.dev/skills/pranavnagrecha/awesomesalesforceskills/collaborative-forecasts"><img src="https://agentmods.dev/badge/skills/pranavnagrecha/awesomesalesforceskills/collaborative-forecasts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,387 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00118 $0.04387
Opus 5 $0.00059 $0.02194
Sonnet 5 $0.00024 $0.00877
Haiku 4.5 $0.00012 $0.00439

Measured 8d ago against content hash 48858031aa7e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

collaborative-forecasts 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 8d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/check_collaborative_forecasts.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/admin/collaborative-forecasts/SKILL.md · 301 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

6 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.

Changes

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.

  1. 8d ago First seen · 301 lines · 118 tokens per session scan A 48858031aa7e

Subscribe to this mod's changes

collaborative-forecasts is a skill published in the GitHub repository PranavNagrecha/AwesomeSalesforceSkills (17 stars, last pushed 8d ago), with no licence file. It adds 118 tokens to every session and 4,387 once invoked, about $0.0006 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 2026-09-04.

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