Create a verifiable goal
Define the requested outcome, constraints, non-goals, affected surfaces, risks, acceptance checks, and evidence required for completion.
Codex Krypton Skill helps stop coding agents from shipping work that sounds plausible but has not been proven. Download the skill for planning goals, defining checks, executing controlled steps, collecting evidence, and refusing completion claims that are not supported by the repository or the running result.
task: complete evidence-driven agent execution task
inspect:
- requirements and context
- existing standards
- failure and edge cases
verify: outputs + checks + handoffKrypton treats planning, execution, checks, and evidence as separate responsibilities connected by an explicit goal.
The skill helps Codex turn intent into a goal package, choose proof before implementation, preserve accepted evidence, and block unsupported completion claims.
Define the requested outcome, constraints, non-goals, affected surfaces, risks, acceptance checks, and evidence required for completion.
Choose commands, tests, inspections, artifact reviews, browser checks, or manual confirmations that can prove the goal.
Follow the approved plan, limit scope, stop on contradictory evidence, and update the goal when reality invalidates an assumption.
Capture relevant outputs and artifacts, distinguish passed checks from missing proof, and issue a clear completion or blocked result.
The steps keep context, implementation, and verification visible so the result can be reviewed and repeated.
Record the outcome, scope, constraints, risks, acceptance criteria, and evidence that will count.
Select checks that measure the actual result rather than only whether code compiles or a command exits successfully.
Make focused changes, run checks at useful milestones, and stop when failures or new information change the plan.
Review outputs and artifacts, record what passed, identify missing proof, and avoid a completion claim when the gate is not met.
The workflow adjusts to the project, audience, tools, and risk while preserving the same quality standard.
Connect a feature or fix to explicit acceptance checks and evidence from the changed system.
Create repeatable build, test, lint, policy, artifact, browser, or manual checks around important outcomes.
Separate planning, execution, verification, and closeout responsibilities so plausible prose cannot substitute for proof.
Preserve goals, decisions, evidence, failures, and remaining work for another person or agent to inspect.
Start with one defined outcome and provide the source material, constraints, and checks that matter.
These skill is designed for people who need dependable evidence-driven agent execution work with a visible process.
Require proof that implementation actually satisfies the stated goal.
Standardize acceptance gates and make agent completion reports easier to audit.
Build reusable checks, evidence formats, and workflow constraints around repository changes.
Preserve goal state and accepted evidence across sessions, people, and agents.
Krypton improves verification discipline, but evidence is only as good as the checks and environment selected. Human judgment remains necessary for incomplete specifications, subjective quality, security, safety, and high-impact releases.
Install the complete skill folder and add the project-specific context before beginning.
Keep SKILL.md with planning, execution, check design, evidence recording, and completion-gate guidance.
Place the skill with the repository so goals and checks can reference its real commands, artifacts, and boundaries.
Choose where goal documents, accepted outputs, screenshots, logs, reports, and unresolved failures will be stored.
Document which commands are safe, which changes need approval, what cannot be automated, and who accepts the final evidence.
Practical answers about capabilities, limits, setup, and review.
It reduces plausible but unverified work by requiring a goal, suitable checks, captured evidence, and a completion gate.
No. Tests are one form of evidence. Some goals also require artifact inspection, browser behavior, operational signals, or human acceptance.
Yes. It can convert an approved plan into explicit checks and evidence requirements before execution.
The task remains incomplete. Codex records the failure, investigates within scope, and updates the plan or reports the blocker.
No. It can show that defined checks passed in a stated environment. It cannot prove properties the checks did not cover.
Clear context. Purposeful work. Relevant checks. A result others can understand.