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Deep clause-by-clause NDA review from Recipient or Discloser perspective. Produces issue log with redlines, fallbacks, rationales, owners, deadlines.
Passed 17 of 23 test cases with the skill, and 9 of 23 without it.
and 8 more in the full report
8 fixed9 passed either way6 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
We want to run the automated NDA clause analyzer script on a text file named 'vendor_nda.txt'. We are acting as the discloser and want the structured issue log exported directly to a JSON file called 'review.json'. What is the exact CLI command line to execute this?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies python scripts/nda_clause_reviewer.py vendor_nda.txt in the command. | Missed | Passed |
| Includes the --perspective discloser flag in the command. | Missed | Passed |
| Includes the --json flag in the command. | Missed | Passed |
| Includes the --output review.json flag in the command. | Passed | Passed |
The instructions your model reads when the skill loads.
⚠️ EXPERIMENTAL — This skill is provided for educational and informational purposes only. It does NOT constitute legal advice. All responsibility for usage rests with the user. Consult qualified legal professionals before acting on any output.
Deep clause-by-clause NDA review tool that analyzes agreements from Recipient or Discloser perspective. Produces structured issue logs with preferred redlines, fallback positions, rationale, owners, and deadlines.
Before reviewing the NDA, confirm these inputs. If any is unknown or vague, ASK — do not assume:
--perspective input)Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the issue log.
test cases passed, vs 9 / 23 without
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