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doubt-driven-development

Subjects every non-trivial decision to a fresh-context adversarial review before it stands

Install / Use

npx skills add addyosmani/agent-skills --skill doubt-driven-development

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

87/100

Category

Security

Supported Platforms

Universal

Our assessment of doubt-driven-development

doubt-driven-development scores 87/100 on our quality scale, 166th of 461 Security skills we index (top 37%).

Its SKILL.md is 16 KB long, well organised into 20 sections with 4 code examples: a thorough specification that gives an agent plenty to work with.

With 98,817 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
30/30
Structure
20/20
Description
12/15
Adoption
20/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 2 days ago, so doubt-driven-development is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

doubt-driven-development compared with similar skills

All 4 of these similar skills score higher than doubt-driven-development; compare them before choosing.

SkillScoreStarsUpdatedFormat
doubt-driven-development (this skill)by addyosmani8798.8k2d agoSKILL.md
algorithmic-artby anthropics100177.9k2d agoSKILL.md
pptxby anthropics100177.9k2d agoSKILL.md
designby nextlevelbuilder100130.2k3d agoSKILL.md
ui-ux-pro-maxby nextlevelbuilder100130.2k3d agoSKILL.md

Frequently asked questions

How do I install doubt-driven-development?
Run npx skills add addyosmani/agent-skills --skill doubt-driven-development. The install tabs above show the steps for each supported agent.
Which AI agents does doubt-driven-development work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is doubt-driven-development safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is doubt-driven-development still maintained?
The repository was last updated 2 days ago, so doubt-driven-development is actively maintained.

name: doubt-driven-development description: Subjects every non-trivial decision to a fresh-context adversarial review before it stands. Use when you want every assumption cross-examined before proceeding, when stress-testing a plan for hidden failure modes, when correctness matters more than speed, when working in unfamiliar code, when stakes are high (production auth, security-sensitive logic, a high-stakes migration, irreversible operations), or any time a confident output would be cheaper to verify now than to debug later.

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")
  • Working in code you don't fully understand

When NOT to use:

  • Mechanical operations (renaming, formatting, file moves)
  • Following a clear, unambiguous user instruction
  • Reading or summarizing existing code
  • One-line changes with obvious correctness
  • 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: Gemini CLI, Codex 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.

Step 2: If the user picks a CLI — verify, then invoke

  1. Check the tool is in PATH (which gemini, which codex).
  2. 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.
  3. Confirm the exact invocation with the user, including required flags, auth, and env vars (e.g., API keys). Implementations vary; never assume.
  4. Pass ARTIFACT + CONTRACT + the adversarial prompt only. No session context, no CLAIM.
  5. 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.
  6. 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 CLI is unavailable or fails

Surface the failure explicitly. Offer: run it manually, try a different tool, or skip. 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.

Non-interactive contexts (CI, /loop, autonomous-loop, scheduled runs):

  • 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):

  1. 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.
  2. Valid + actionable — real issue requiring a change to the artifact. Change it, re-loop.
  3. Valid trade-off — issue is real but cost of fixing exceeds cost of accepting. Document the trade-off explicitly so the user sees it.
  4. 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 th

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars98.8k
CategorySecurity
Updated2d ago
Forks10.4k

Languages

JavaScript

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions