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 skala-io/legal-skills --skill term-sheet-reviewgit clone --depth 1 https://github.com/skala-io/legal-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/skala-io/legal-skills/term-sheet-review)<a href="https://agentmods.dev/skills/skala-io/legal-skills/term-sheet-review"><img src="https://agentmods.dev/badge/skills/skala-io/legal-skills/term-sheet-review/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/skala-io/legal-skills/term-sheet-review"><img src="https://agentmods.dev/badge/skills/skala-io/legal-skills/term-sheet-review.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 | $0.00095 | $0.01091 |
| Opus 5 | $0.00048 | $0.00545 |
| Sonnet 5 | $0.00019 | $0.00218 |
| Haiku 4.5 | $0.00010 | $0.00109 |
Grade A, and why
term-sheet-review 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 12d 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
First published on Skala Legal Skills
Legal Disclaimer
This skill is provided for informational and educational purposes only and does not constitute legal advice. The analysis and information provided should not be relied upon as a substitute for consultation with a qualified attorney. No attorney-client relationship is created by using this skill. Laws and regulations vary by jurisdiction and change over time. Always consult with a licensed attorney in your jurisdiction for advice on specific legal matters. The creators and publishers of this skill disclaim any liability for actions taken or not taken based on the information provided.
VC Term Sheet Review
Overview
Review venture capital term sheets for pre-seed, seed, and Series A rounds. Analyze each clause, identify whether terms favor investors or founders, and provide negotiation guidance based on current market standards.
Workflow
- Ask user role: Investor or Startup founder?
- Identify investment stage: Pre-seed, Seed, Series A, or Series B+
- Extract and analyze each clause against market standards
- Rate each term: Investor-friendly, Founder-friendly, or Market standard
- Provide tailored recommendations based on user's role
- Generate summary with key negotiation points
Initial Questions
Before reviewing a term sheet, ask the user:
1. Are you the INVESTOR or the STARTUP in this transaction?
2. [If not clear from document] What stage is this financing? (Pre-seed/Seed/Series A)
Series B+ handling: If the term sheet is for Series B or later:
"I should note that my expertise is primarily in pre-seed through Series A transactions. Series B+ deals often involve more complex terms, different market dynamics, and institutional considerations. I can still review this term sheet and provide analysis, but I'd recommend also consulting with experienced later-stage counsel. Would you like me to proceed with the review?"
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.
- 12d ago First seen · 123 lines · 95 tokens per session scan A d1b5eda12b01
term-sheet-review is a skill published in the GitHub repository skala-io/legal-skills (48 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 95 tokens to every session and 1,091 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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