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Prototype

Skill mblauberg/provenant/skills/prototype

Portable equal-primary Claude and Codex agent harness for a governed agentic SDLC

Install
npx -y skills add mblauberg/provenant --skill prototype

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 28 days oldThe repository was created 28 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use for an authorised, timeboxed throwaway build that answers one feasibility question. Not for production code, settled requirements, or debugging known breakage; use implement, scope, or diagnose.

SKILL.md

2.5 KB, 535 tokens by cl100k_base, as published. Nobody here has run it

prototype: spike to learn, then throw it away

Some uncertainty is cheaper to build through than to talk through. A prototype exists to answer ONE named question; the deliverable is the answer, never the code.

Contract (agree before writing code)

  1. The question: one sentence, falsifiable. "Can X stream 10k rows without buffering?" not "explore X".
  2. Timebox: default 30 to 60 min of agent work. Hit the box with no answer → that IS a finding (question too big; split it or grill further).
  3. Kill criteria: what result answers the question either way.
  4. Where it lives: an authorised, manifest-owned scratch dir outside production source. Never import it from real code or touch external systems, credentials or user data without separate authority.

Rules

  • Build only the checks needed to answer the question. Production quality gates do not apply to disposable scratch code; evidence, authority and containment do.
  • Cheat aggressively: hardcode data, stub auth, fake the network. Only the question's variable needs to be real.
  • One question per spike. A second question mid-spike → note it, finish, spike it separately if it still matters.
  • Harvest, then retire. Put the finding and evidence in the owning spec, decision record or scoping thread when artifact authority exists. Remove only paths proven run-owned and explicitly authorised; otherwise quarantine or hand them back with a named cleanup action.
  • Prototype code never "graduates" to production. Productionisation routes through scope when decisions changed, then implement; rebuild the smallest production solution with the appropriate test/refactor method.

Harvest format (into the owning doc/thread)

**Spike:** <question>  (YYYY-MM-DD, timebox 45m)
**Answer:** yes/no/partial — <one paragraph, numbers where measured>
**Evidence:** <command run, output, or measurement>
**Implication:** <what the spec/decision now says because of this>

Red flags

  • "The spike works, let's ship it" → scope any changed decision, then use implement; do not wire the spike into production.
  • Spike touching production files or secrets → wrong dir, stop.
  • No timebox agreed → not a spike, just unscoped wandering.
  • Answer known from docs/a search in <10 min → didn't need a spike.

What ships with it: 1 file

2.0 KB alongside SKILL.md

evals/

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.