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 guia-matthieu/clawfu-skills --skill deal-risk-scoringgit clone --depth 1 https://github.com/guia-matthieu/clawfu-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/guia-matthieu/clawfu-skills/deal-risk-scoring)<a href="https://agentmods.dev/skills/guia-matthieu/clawfu-skills/deal-risk-scoring"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/deal-risk-scoring/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/guia-matthieu/clawfu-skills/deal-risk-scoring"><img src="https://agentmods.dev/badge/skills/guia-matthieu/clawfu-skills/deal-risk-scoring.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00023 | $0.02278 |
| Opus 5 | $0.00012 | $0.01139 |
| Sonnet 5 | $0.00005 | $0.00456 |
| Haiku 4.5 | $0.00002 | $0.00228 |
Grade A, and why
deal-risk-scoring 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 9d 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 — 349 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deal Risk Scoring
Evaluate individual deal health through multi-signal analysis to prioritize coaching, intervention, and resource allocation.
When to Use This Skill
- Weekly deal reviews and pipeline scrubs
- Before QBRs to identify problem deals
- When deals stall or push close dates
- Prioritizing manager coaching time
- Allocating SE/executive resources
Methodology Foundation
Based on Gong's Deal Intelligence research and Winning by Design's Revenue Architecture, analyzing:
- Engagement velocity (email, meeting frequency)
- Stakeholder breadth (multi-threading)
- Competitive signals
- Timeline alignment
- Champion strength
What Claude Does vs What You Decide
| Claude Does | You Decide |
|---|---|
| Scores deals on risk factors | Which deals to save vs. let go |
| Identifies missing elements | Resource allocation priorities |
| Suggests intervention actions | Executive sponsor assignments |
| Tracks velocity trends | Final stage/probability updates |
| Flags competitive threats | Win strategy adjustments |
What This Skill Does
- Multi-signal analysis - Engagement, stakeholders, timeline, competition
- Risk scoring - Green/Yellow/Red health status with reasons
- Gap identification - Missing stakeholders, stalled stages, unclear next steps
- Action recommendations - Specific interventions to reduce risk
- Trend tracking - Velocity changes over time
How to Use
Assess the risk for this deal:
Deal: [Company Name]
Value: $X
Stage: [Current Stage]
Close Date: [Target Date]
Days in Stage: X
Recent Activity:
- [List emails, meetings, calls with dates]
Stakeholders:
- [Name, Title, Role in deal, Engagement level]
Competition: [Known competitors]
Champion: [Name and strength assessment]
Instructions
Step 1: Engagement Velocity Score (0-25 points)
| Criteria | Points |
|---|---|
| Meeting in last 7 days | +10 |
| Email response in last 3 days | +5 |
| Multiple contacts engaged | +5 |
| Prospect initiating contact | +5 |
| No activity 14+ days | -15 |
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.
- 9d ago First seen · 349 lines · 23 tokens per session scan A 8ac112b467a1
deal-risk-scoring is a skill published in the GitHub repository guia-matthieu/clawfu-skills (149 stars, last pushed 5mo ago), licensed MIT. It adds 23 tokens to every session and 2,278 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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