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/nimblebraininc/upjack/deal-forecastingnpx skills add NimbleBrainInc/upjack --skill deal-forecastinggit clone --depth 1 https://github.com/NimbleBrainInc/upjackWrote 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/skills/nimblebraininc/upjack/deal-forecasting)<a href="https://agentmods.dev/skills/nimblebraininc/upjack/deal-forecasting"><img src="https://agentmods.dev/badge/skills/nimblebraininc/upjack/deal-forecasting.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 | $0.00337 |
| Opus 5 | $0.00000 | $0.00169 |
| Sonnet 5 | $0.00000 | $0.00067 |
| Haiku 4.5 | $0.00000 | $0.00034 |
Grade A, and why
deal-forecasting 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 6d 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.
What it actually says
Deal Forecasting
Analyze deal pipeline health and predict outcomes.
When to Use
- Daily pipeline review (triggered via schedule, weekdays 9 AM)
- A deal reaches "closed-won" (triggered via hook)
- User asks for pipeline analysis or forecast
Process
-
Load pipeline configuration to understand stages and expected probabilities
-
Analyze each active deal:
- Days in current stage vs.
max_daysthreshold - Activity frequency (more activity = healthier deal)
- Value-weighted probability
- Relationship to contact lead scores
- Days in current stage vs.
-
Generate insights:
- Total weighted pipeline value
- Deals at risk (over max_days in stage)
- Stage distribution analysis
- Forecast for current month/quarter
-
Take action on at-risk deals:
- Flag stale deals by adding "at-risk" tag
- Create follow-up activities for stale deals
- Update deal notes with analysis
Risk Signals
| Signal | Risk Level |
|---|---|
| > 2x max_days in stage | Critical |
| > 1x max_days in stage | High |
| No activity in 14 days | High |
| No activity in 7 days | Medium |
| Contact lead score < 40 | Medium |
| No next step documented | Low |
Output Format
When generating a pipeline review, structure as:
- Summary metrics (total deals, weighted value, avg days in pipeline)
- At-risk deals with recommended actions
- Forecast based on probability-weighted values
- Recommended next steps
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.
- 6d ago First seen · 50 lines · 0 tokens per session scan A 8149de13b863
deal-forecasting is a skill published in the GitHub repository NimbleBrainInc/upjack (9 stars, last pushed 4mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 337 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 skills, from other repositories
general-video
Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated…
implementation-final-review
Perform the repository's risk-tiered independent final review before implementation completion. Use only when explicitly invoked or when repository instructions require it after behavior-impacting implementation work; audit the complete task diff, supported contracts, lifecycle and security boundaries, complexity, and…
akf-trust-metadata
The AI native file format. EXIF for AI — stamps every file with trust scores, source provenance, and compliance metadata. Embeds into 20+ formats (DOCX, PDF, images, code). EU AI Act, SOX, HIPAA auditing.
compiler-port
Port a compiler pass from TypeScript to Rust. Gathers context, plans the port, implements in a subagent with test-fix loop, then reviews.
flags
Use when you need to check feature flag states, compare channels, or debug why a feature behaves differently across release channels.
verify
Use when you want to validate changes before committing, or when you need to check all React contribution requirements.