implement-plan

implement-plan is an Execution & autonomous loops skill for AI agents, published by hawkyre in the hawk-skills repository on GitHub. Skillspace rates implement-plan D (64/100) and it passed the safety scan; the rating is based on static analysis only.

Execute an approved plan increment-by-increment with deterministic verification at each step. Use whenever the user says "implement the plan", "run the plan", "execute the plan", "work through the increments", "do the plan", or invokes /implement-plan. Done-criteria are checked against evidence on disk, not asserted from memory; failures escalate through a layered ladder rather than repeated identical attempts; existing code gets behavior-preservation tests before modification; file divergence (touched vs declared) is reconciled before each commit; structured outcome records land in the plan file. Designed for fresh sessions with no prior context. Do NOT use for planning itself — use `plan-small` or `plan-large`. Do NOT use for unplanned coding without a plan file — use `coding-process`. Do NOT use when the user wants audits in the loop — use `implement-plan-audited`.

Grade

D

Quality

64 / 100

Safety

Passed

GitHub stars

27

Unproven: rated by static analysis only, not yet compared head-to-head.

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