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 skills add cosmicstack-labs/mercury-agent-skills --skill budgeting-forecastinggit clone --depth 1 https://github.com/cosmicstack-labs/mercury-agent-skillsWrote 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/cosmicstack-labs/mercury-agent-skills/budgeting-forecasting)<a href="https://agentmods.dev/skills/cosmicstack-labs/mercury-agent-skills/budgeting-forecasting"><img src="https://agentmods.dev/badge/skills/cosmicstack-labs/mercury-agent-skills/budgeting-forecasting/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.
<a href="https://agentmods.dev/skills/cosmicstack-labs/mercury-agent-skills/budgeting-forecasting"><img src="https://agentmods.dev/badge/skills/cosmicstack-labs/mercury-agent-skills/budgeting-forecasting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00022 | $0.00409 |
| Opus 5 | $0.00011 | $0.00204 |
| Sonnet 5 | $0.00004 | $0.00082 |
| Haiku 4.5 | $0.00002 | $0.00041 |
Grade A, and why
budgeting-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 8d 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
Budgeting & Forecasting
Create and manage effective budgets and financial forecasts.
Budgeting Approaches
| Approach | Method | Best For |
|---|---|---|
| Incremental | Last year + X% | Stable organizations |
| Zero-based | Build from scratch each period | Cost optimization |
| Activity-based | Cost per unit of activity | Manufacturing, services |
| Rolling | Continuous 12-month outlook | Fast-changing environments |
Zero-Based Budgeting Steps
- Identify all activities and their costs
- Evaluate each: does it create value?
- Rank by priority/cost ratio
- Fund top priorities within budget constraints
- Cut or optimize low-value activities
Forecasting
Rolling Forecast Model
# Structure
- Historical data (12-24 months)
- Current pipeline and commitments
- Leading indicators (traffic, leads, bookings)
- Economic assumptions
- Scenario overlays (best/base/worst)
Variance Analysis
| Variance | Cause | Action |
|---|---|---|
| Revenue ↑ | Volume or price increase | Sustain driver or reinvest |
| Revenue ↓ | Volume or price drop | Investigate root cause |
| Cost ↑ | Variable or fixed increase | Optimize or renegotiate |
| Cost ↓ | Efficiency or lower demand | Validate sustainability |
Scenario Planning
- Base case: Most likely outcome
- Upside: +20% revenue, what would we invest in?
- Downside: -20% revenue, what would we cut?
- Each scenario has specific triggers and action plans
- Review scenarios monthly against actuals
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.
- 8d ago First seen · 57 lines · 22 tokens per session scan A 59b3dd19ffbb
budgeting-forecasting is a skill published in the GitHub repository cosmicstack-labs/mercury-agent-skills (471 stars, last pushed 17d ago), licensed MIT. It adds 22 tokens to every session and 409 once invoked, about $0.0001 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 2026-09-03.
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