In-flight adversarial check on a non-trivial decision BEFORE it stands — distinct from post-hoc code review of a finished diff. Use on triggers like "stress-test this decision", "are we sure about this", "verify before commit", "poke holes in this", when working in unfamiliar code, or when an irreversible/high-stakes step (migration, prod deploy, public API) is about to be taken. Does not replace the project's code-review or openspec-verify gates; it runs earlier, while course-correction is cheap.
Instalação
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
In-flight adversarial check on a non-trivial decision BEFORE it stands — distinct from post-hoc code review of a finished diff. Use on triggers like "stress-test this decision", "are we sure about this", "verify before commit", "poke holes in this", when working in unfamiliar code, or when an irreversible/high-stakes step (migration, prod deploy, public API) is about to be taken. Does not replace the project's code-review or openspec-verify gates; it runs earlier, while course-correction is cheap.
Doubt-Driven Development
Overview
A confident answer is not a correct one. Long sessions accumulate context that quietly turns assumptions into "facts" without anyone noticing. Doubt-driven development is the discipline of materializing a fresh-context reviewer — biased to disprove, not approve — before any non-trivial output stands.
This is not /review. /review is a verdict on a finished artifact. This is an in-flight posture: non-trivial decisions get cross-examined while course-correction is still cheap.
When to Use
A decision is non-trivial when at least one of these is true:
It introduces or modifies branching logic
It crosses a module or service boundary
It asserts a property the type system or compiler cannot verify (thread safety, idempotence, ordering, invariants)
Its correctness depends on context the future reader cannot see
Its blast radius is irreversible (production deploy, data migration, public API change)
Apply the skill when:
About to make an architectural decision under uncertainty
About to commit non-trivial code
About to claim a non-obvious fact ("this is safe", "this scales", "this matches the spec")
Pure tooling operations (running tests, listing files)
The user has explicitly asked for speed over verification
If you doubt every keystroke, you ship nothing. The skill applies only to non-trivial decisions as defined above.
Loading Constraints
This skill is designed for the main-session orchestrator, where Step 3 (DOUBT, detailed below) can spawn a fresh-context reviewer.
Do NOT add this skill to a persona's skills: frontmatter. A persona that follows Step 3 would spawn another persona — the orchestration anti-pattern explicitly forbidden by references/orchestration-patterns.md ("personas do not invoke other personas").
If you find yourself applying this skill from inside a subagent context (where Claude Code prevents nested subagent spawn): the preferred path is to surface to the user that doubt-driven cannot run nested and let the main session handle it. As a last resort only, a degraded self-questioning fallback exists — rewrite ARTIFACT + CONTRACT as a fresh self-prompt with a hard mental separator from your prior reasoning, and walk Steps 1–5. This is not fresh-context review (you carry your own context with you), so flag the result as degraded and prefer escalation whenever the user is reachable.
The Process
Copy this checklist when applying the skill:
Doubt cycle:
- [ ] Step 1: CLAIM — wrote the claim + why-it-matters
- [ ] Step 2: EXTRACT — isolated artifact + contract, stripped reasoning
- [ ] Step 3: DOUBT — invoked fresh-context reviewer with adversarial prompt
- [ ] Step 4: RECONCILE — classified every finding against the artifact text
- [ ] Step 5: STOP — met stop condition (trivial findings, 3 cycles, or user override)
Step 1: CLAIM — Surface what stands
Name the decision in two or three lines:
CLAIM: "The new caching layer is thread-safe under the
read-heavy workload described in the spec."
WHY THIS MATTERS: a race here corrupts user data and is
hard to detect in QA.
If you can't write the claim that compactly, you have a vibe, not a decision. Surface it before scrutinizing it.
Step 2: EXTRACT — Smallest reviewable unit
A fresh-context reviewer needs the artifact and the contract, not the journey.
Code: the diff or the function — not the whole file
Decision: the proposal in 3–5 sentences plus the constraints it has to satisfy
Assertion: the claim plus the evidence that supposedly supports it (kept distinct from the Step 1 CLAIM block, which is the orchestrator's hypothesis under scrutiny)
Strip your reasoning. If you hand over conclusions, you'll get back validation of your conclusions. The unit must be small enough that a reviewer can hold it in mind in one read — if it's a 500-line PR, decompose first.
Step 3: DOUBT — Invoke the fresh-context reviewer
The reviewer's prompt must be adversarial. Framing decides the answer.
Adversarial review. Find what is wrong with this artifact.
Assume the author is overconfident. Look for:
- Unstated assumptions
- Edge cases not handled
- Hidden coupling or shared state
- Ways the contract could be violated
- Existing conventions this might break
- Failure modes under unexpected input
Do NOT validate. Do NOT summarize. Find issues, or state
explicitly that you cannot find any after thorough examination.
ARTIFACT: <paste artifact>
CONTRACT: <paste contract>
Pass ARTIFACT + CONTRACT only. Do NOT pass the CLAIM. Handing the reviewer your conclusion biases it toward agreement. The reviewer must independently determine whether the artifact satisfies the contract.
In Claude Code, the role-based reviewers in agents/ start with isolated context by design and are usable here — see agents/ for the roster and per-domain match.
The adversarial prompt above takes precedence over the persona's default response shape. Personas like code-reviewer are written to produce balanced verdicts with both strengths and weaknesses; doubt-driven needs issues-only output. Paste the adversarial prompt verbatim into the invocation so it overrides the persona's default. If a persona's response shape can't be overridden cleanly, fall back to a generic subagent with the adversarial prompt.
Cross-model escalation
A single-model reviewer shares blind spots with the original author — a colder, different-architecture model catches them. Doubt-driven is already opt-in for non-trivial decisions, so within that scope offering cross-model is part of the skill's value, not optional friction.
Interactive sessions: always offer. Never silently skip.
Step 1: Ask the user
After the single-model review in Step 3 above, but before RECONCILE, pause and ask:
"Single-model review complete. Want a cross-model second opinion? Options: subagent on a different-architecture model, an external review CLI, manual external review (you paste it elsewhere), or skip."
This question is mandatory in every interactive doubt cycle — even on artifacts that feel low-stakes. The user — not the agent — decides whether the cost is worth it. The agent's job is to surface the choice.
Preferred path in Pi: spawn a subagent on a @propose-review-N role. Pi's Agent tool takes a model param. Use a role ref (@propose-review-1, @propose-review-2, … @propose-review-x) — NOT a raw provider/model-id. Role refs resolve through the supported model:resolve handler and inherit the parent session's live registry, so a curated reviewer (including a custom-provider model) actually spawns. A raw provider/model-id bypasses that path; for a custom provider the child can build a registry that lacks the provider → empty output (the exact failure this role series exists to avoid). A subagent is cleaner than a CLI regardless: no shell-escaping hazard (ARTIFACT passes as a prompt string, never through a shell), isolated context by construction, and the subagent can open repo files to verify the author's code claims.
Agent(
subagent_type: "Explore", # or any read-capable label
model: "@propose-review-1", # a curated cross-model reviewer role
description: "Cross-model adversarial review",
prompt: "<adversarial prompt> + ARTIFACT + CONTRACT" # NO CLAIM, NO reasoning
)
Choosing the reviewer — walk the @propose-review-N role series. The operator pre-configures a numbered series of reviewer roles (propose-review-1, propose-review-2, … propose-review-x in ~/.pi/agent/providers.json#roles, editable via the update_roles tool or the dashboard Roles panel), each pointing at a different-architecture model than the author and verified reachable. Order matters: put cross-model reviewers first and any same-family-as-usual-author model (e.g. an Anthropic model when the author is typically Claude) last, so it only fires as the final fallback. The skill does not hand-pick or fuzzy-match a catalogue — it walks the series in order:
Start at @propose-review-1. Skip any role whose architecture family matches the author's (author is Claude → skip a propose-review-N that maps to claude-*) — a reviewer that shares the author's family shares its blind spots.
Probe before the real prompt with a trivial prompt ("Reply with exactly: OK"). Non-empty → use that role for the adversarial pass. Empty, or a resolution error → advance to @propose-review-2, @propose-review-3, … until one probes clean.
If no @propose-review-N role resolves (none configured, or all probe empty) and the session is interactive, offer to configure one on the spot — see Bootstrap a reviewer role below — before giving up. Only when the user declines, or the context is non-interactive, treat subagent cross-model as unavailable (Step 3) — offer CLI / manual / skip. Never substitute a raw provider/model-id; that is the path that fails silently for custom providers.
Seeding the series (one-time). Assign each propose-review-N role a reachable, different-architecture model, cross-model reviewers first and any same-family fallback last — e.g. propose-review-1 → opencode-go/glm-5.2, propose-review-2 → deepseek/deepseek-v4-pro, propose-review-3 → anthropic/claude-opus-4-8 (Opus last). Enumerate reachable ids with pi --list-models or dashboard GET /api/models when deciding what to assign; assign via update_roles.
Bootstrap a reviewer role (interactive, when the series is empty or unreachable). On a machine where no @propose-review-N role is set — or none resolves — do NOT jump straight to CLI / skip. Configure one live:
Enumerate the reachable set with the list_models tool (or pi --list-models / dashboard GET /api/models). Keep only credentialed rows (excludedReason: null); prefer reasoning: true.
Drop the author's own architecture family (author is Claude → exclude anthropic/* / claude-*) so the reviewer does not share the author's blind spots.
Ask the user to choose via ask_user (method select), offering a handful of the strongest different-family candidates from the enumerated set (do not auto-pick).
Assign it via the role API — the update_roles tool: set_role, role: "propose-review-1" (or the next free propose-review-N slot), ref: "<chosen provider/model-id>". This persists to providers.json#roles, so the choice carries to every future session; never hand-edit the file.
Probe then spawn on the freshly-assigned @propose-review-N (same "Reply with exactly: OK" gate).
Interactive only — never enumerate-and-ask in CI / /loop / autonomous runs; there, skip per the non-interactive rule below.
Prerequisite + fallback (verify, do not assume):
A @propose-review-N role must be configured AND reachable. An unconfigured role, or one pointing at a non-reachable id, makes the spawn return empty output. Probe first ("Reply with exactly: OK"); empty → advance to the next @propose-review-N, never proceed on the empty one. (This series is preferred precisely because a role ref resolves through the parent's live registry; a raw provider/model-id can silently miss a custom provider.)
If the whole @propose-review-N series is exhausted with no clean probe, surface it explicitly (per Step 3 below) and fall back to an external review CLI or manual review. Do NOT silently proceed single-model, and do NOT substitute a raw provider/model-id.
Pass ARTIFACT + CONTRACT + adversarial prompt only — same rule as every cross-model path. No CLAIM.
Step 2: If the user picks a CLI — verify, then invoke
Check the tool is in PATH (which gemini, which codex).
Test it works (gemini --version or equivalent) before passing the full prompt — a stale or broken binary may pass which but fail on real input.
Confirm the exact invocation with the user, including required flags, auth, and env vars (e.g., API keys). Implementations vary; never assume.
Pass ARTIFACT + CONTRACT + the adversarial prompt only. No session context, no CLAIM.
Mind shell escaping. If the artifact contains quotes, $(...), or backticks, prefer stdin (echo … | gemini) or a heredoc over inline -p "…". When in doubt, ask the user to confirm the invocation before running it.
Take the output into Step 4 (RECONCILE).
Never interpolate the artifact into a shell-quoted argument. Code, markdown, and review prompts routinely contain backticks, $(...), and quote characters that will either truncate the prompt or execute embedded shell. Write the full prompt to a file and pipe it through stdin.
Example shapes (verify flags against your installed tool — syntax differs across implementations and versions):
# Write the adversarial prompt + ARTIFACT + CONTRACT to a temp file first.# Then pipe via stdin so shell metacharacters in the artifact stay inert.# Codex (read-only sandbox keeps the CLI from writing to your workspace):
codex exec --sandbox read-only -C <repo-path> - < /tmp/doubt-prompt.md
# Gemini ('--approval-mode plan' is read-only; '-p ""' triggers non-interactive# mode and the prompt is read from stdin):
gemini --approval-mode plan -p "" < /tmp/doubt-prompt.md
A read-only sandbox is the load-bearing detail: a doubt artifact may itself contain instructions (intentional or accidental prompt injection) that the cross-model CLI would otherwise execute against your workspace.
Step 3: If the subagent-model path or CLI is unavailable or fails
Surface the failure explicitly. Offer: try the other path (subagent ↔ CLI), run it manually, or skip. A @propose-review-N series exhausted with every role probing empty, or a CLI failing to load (dyld/missing lib), both count as failures — announce them. Do not silently fall back to single-model — the user should know cross-model didn't happen.
Step 4: If the user skips
Acknowledge the skip in the output ("Proceeding with single-model findings only") and continue to RECONCILE. Skipping is fine; silent skipping is not.
Cross-model is skipped, and the skip must be announced in the output: "Cross-model skipped: non-interactive context."
Never invoke an external CLI without explicit user authorization — this is a load-bearing safety property.
Cross-model adds cost, latency, and tool fragility. The agent surfaces the choice every cycle; the user decides whether this artifact warrants it.
Step 4: RECONCILE — Fold findings back
The reviewer's output is data, not verdict. You are still the orchestrator. Re-read the artifact text against each finding before classifying — rubber-stamping the reviewer is the same failure mode as ignoring it.
For each finding, classify in this precedence order (first matching class wins):
Contract misread — reviewer flagged something specifically because the CONTRACT you provided was unclear or incomplete. Fix the contract first, re-classify on the next cycle.
Valid + actionable — real issue requiring a change to the artifact. Change it, re-loop.
Valid trade-off — issue is real but cost of fixing exceeds cost of accepting. Document the trade-off explicitly so the user sees it.
Noise — reviewer flagged something that's actually correct under context the reviewer didn't have. Note it, move on, and ask: would adding that context to the contract have prevented the false flag?
A fresh reviewer can be wrong because it lacks context. Don't defer just because it's "fresh."
Step 5: STOP — Bounded loop, not recursion
Stop when:
Next iteration returns only trivial or already-considered findings, or
3 cycles completed (escalate to user, don't grind a fourth alone), or
User explicitly says "ship it"
If after 3 cycles the reviewer still surfaces substantive issues, the artifact may not be ready. Surface this to the user — three unresolved cycles is information about the artifact, not a reason to keep looping.
If 3 cycles is "obviously insufficient" because the artifact is large: the artifact is too big — return to Step 2 and decompose. Do not lift the bound.
Common Rationalizations
Rationalization
Reality
"I'm confident, skip the doubt step"
Confidence correlates poorly with correctness on novel problems. Moments of certainty are exactly when blind spots hide.
"Spawning a reviewer is expensive"
Debugging a wrong commit in production is more expensive. The check is bounded; the bug isn't.
"The reviewer will just nitpick"
Only if unscoped. Constrain the prompt to "issues that would make this fail under the contract."
"I'll do doubt at the end with /review"
/review is a final gate. Doubt-driven catches wrong directions early when course-correction is cheap. By PR time it's too late.
"If I doubt every step I'll never ship"
The skill applies to non-trivial decisions, not every keystroke. Re-read "When NOT to Use."
"Two opinions are always better than one"
Not when the second has less context and produces noise. Reconcile, don't defer.
"The reviewer disagreed so I was wrong"
The reviewer lacks your context — disagreement is information, not verdict. Re-read the artifact, classify, then decide.
"Cross-model is always better"
Cross-model catches blind spots a single model shares with itself, but it adds cost and tool fragility. Offer it every interactive doubt cycle — the user decides whether the artifact warrants it. The agent's job is to surface the choice, not to gate it.
"User said yes once, so I can keep invoking the CLI"
Each invocation is its own authorization. The artifact, the prompt, and the flags change between calls — re-confirm the exact command with the user before every run.
Red Flags
Spawning a fresh-context reviewer for a one-line rename or formatting change
Treating reviewer output as authoritative without re-reading the artifact text
Looping >3 cycles without escalating to the user
Prompting the reviewer with "is this good?" instead of "find issues"
Skipping doubt under time pressure on a high-stakes decision
Re-spawning fresh-context on an unchanged artifact (you'll get the same findings; you're stalling)
Doubt theater (checkable signal): across 2 or more cycles where the reviewer surfaced substantive findings, zero findings were classified as actionable. You are validating, not doubting. Stop and escalate.
Doubting only after committing — that's /review, not doubt-driven development
Hardcoding an external CLI invocation without confirming with the user that the tool exists, is configured, and accepts that exact syntax
Silently skipping cross-model in an interactive doubt cycle. Even when not recommending it, the offer must be visible. Skipping is fine; silent skipping is not.
Falling back silently when an external CLI errors or is missing — surface the failure and let the user redirect
Stripping the contract from the reviewer's input
Passing the CLAIM to the reviewer (biases toward agreement)
Interaction with Other Skills
code-review-and-quality / /review: complementary. /review is post-hoc PR verdict; doubt-driven is in-flight per-decision. Use both.
source-driven-development: SDD verifies facts about frameworks against official docs. Doubt-driven verifies your reasoning about the artifact. SDD checks the API exists; doubt-driven checks you used it correctly under the contract.
test-driven-development: TDD's RED step is doubt made concrete — a failing test is a disproof attempt. When TDD applies, that failing test is the doubt step for behavioral claims.
debugging-and-error-recovery: when the reviewer surfaces a real failure mode, drop into the debugging skill to localize and fix.
Repo orchestration rules (references/orchestration-patterns.md): this skill orchestrates from the main session. A persona calling another persona is anti-pattern B — see Loading Constraints above.
Verification
After applying doubt-driven development:
Every non-trivial decision (per the definition above) was named explicitly as a CLAIM before standing
At least one fresh-context review per non-trivial artifact (a failing test produced by TDD's RED step satisfies this for behavioral claims, per Interaction with Other Skills)
The reviewer received ARTIFACT + CONTRACT — NOT the CLAIM, NOT your reasoning
The reviewer's prompt was adversarial ("find issues"), not validating ("is it good")
Findings were classified against the artifact text (not rubber-stamped) using the precedence: contract misread / actionable / trade-off / noise
A stop condition was met (trivial findings, 3 cycles, or user override)
In interactive mode, cross-model was explicitly offered to the user (regardless of artifact stakes) and the response was acknowledged in the output. When run, the preferred Pi path (subagent on a @propose-review-N reviewer role) was tried first; an empty probe advanced to the next role in the series, and a fully-exhausted series was surfaced as a failure, not silently swallowed
When cross-model ran, the reviewer was selected by walking the @propose-review-1..@propose-review-x role series (probe-gated), each a different architecture family than the author — not a hand-picked raw provider/model-id. When the series was empty/unreachable in an interactive session, a role was bootstrapped first: list_models → ask_user selection → update_rolesset_role, before any CLI/skip fallback
In non-interactive mode, cross-model was skipped and the skip was announced
Any external CLI invocation was preceded by a PATH check, a working-binary test, syntax confirmation with the user, and explicit authorization to run
