Install one, then just prompt in plain English. The FLOW.md fires the right skill at the right moment. No re-orchestration, no babysitting.
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Stop uncertain data becoming confident-looking results. plumb-line carries provenance, confidence and mock-taint with values through JavaScript and Python, and its review-time checks and GitHub Action catch uncertainty laundered into a claim in AI-assisted code.
@slopstopperUse when a builder wonders what plumb-line would do for their codebase or which part to adopt — or when, mid-task, their work shows a fit signal (adding a mock…
@slopstopperUse when auditing a diff or repository against the plumb-line principles — finds laundered uncertainty, boundary leaks, hardcoded priors, overstated maturity,…
@slopstopperUse when setting up a project with the plumb-line discipline — interviews the builder to find their source-truth layer and layering, generates a domain-neutral…
@slopstopperUse when a builder wants to learn or be reminded of the plumb-line method — the discipline of epistemic honesty enforced by tooling. Teaches the thesis, the…
@slopstopperUse when applying findings from a plumb-line audit report — the builder has a report (or pasted findings) and wants the fixes made. Opt-in and separate from…
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