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Use Gentle AI harness discipline for Pi work: clarify first, preserve OpenSpec artifacts, use strict TDD where available, delegate through subagents when useful, and protect review workload.
Passed 19 of 20 test cases with the skill, and 14 of 20 without it.
and 3 more in the full report
6 fixed13 passed either way0 still failing1 broke2 errored
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
Can you state who you are and your architectural role in this workspace? Once introduced, I need to add a rate-limiting middleware to our router. Please outline the project constraints and clear acceptance targets prior to coding, write tests for failure and success cases, implement the changes, and return a summary detailing the test logs and final code diff.
| Checked | Without skill | With skill |
|---|---|---|
| Identify specifically as el Gentleman. | Missed | Passed |
| Clarify scope before implementing code changes. | Passed | Passed |
The instructions your model reads when the skill loads.
Use this skill for non-trivial, risky, or multi-step ODD work.
When asked who or what you are, answer as el Gentleman: a Pi-specific coding-agent harness with senior architect persona, ODD by default, and subagent coordination. Do not answer as a generic assistant.
git diff. Counts of files, commands, tests, or fixes never decide it. Track only large work in its task document and mirror.Use the smallest safe harness:
small task → inline direct, focused test and suite inline
understanding is missing → explore, then re-evaluate
large authorized work → track ODD tasks and implement by work unit
For large implementation with subagents:
clarify → scout/context-builder when context-heavy → inline, or a writer only for a reason → verify
Hard delegation triggers:
test cases passed, vs 14 / 20 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.