second-opinion
Cross-check the agent's own answer with independent reviewers before bringing it to the user.
Skill by awrshift
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/awrshift-second-opinion
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: testing, agent-building
Reviews
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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/second-opinion
What's inside
- Skill name
second-opinion- Description
- Cross-check the agent's own answer with independent reviewers before bringing it to the user. Use when the user says 'second opinion', 'sanity check', 'cross-check', 'am I missing something', 'stress-test', 'devil's advocate', 'run a full review', 'this is important', 'high-stakes', 'help me choose between', 'critique this', or similar. Three review styles: Devil's Advocate (single critique), Boardroom Debate (parallel multi-reviewer validation), Round-Table (multi-round brainstorm for choosing between paths). Not for factual lookups — use WebSearch for those.
- License
- MIT
- Instructions
- 72 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Second Opinion — cross-check before you commit
Stress-test your own answer with reviewers who don't share your framing. The reviewer set
depends on what you have available:
- **Always available:** the isolated `idea-validator` agent (same model family, but NO parent
context — it can't anchor on your framing, and it READS the actual files).
- **If you have access to a second model family** (Gemini, GPT, …, via a CLI wrapper or API):
add it as an external reviewer. A different training distribution catches different blind
spots. It reviews from the brief only (no repo access) — lean on it for concept and
tech-currency, not file-level facts.
**Already have your own review setup?** If your user-level configuration defines a review board
or a second-opinion skill (your own reviewer agent, a model list, a wrapper for another model
family), use that one and skip this skill — two review procedures for one decision drift apart.
This skill is the default for people who have none.
## When to invoke
1. Two or more viable paths to choose between → Round-Table.
2. High-stakes decision (architecture, launch copy, anything with real rollback cost) →
Boardroom Debate.
3. Stuck on the same problem after 2+ attempts, or a non-trivial proposal awaiting approval →
Devil's Advocate.
If none fires, don't invoke — a single-model answer is enough for routine work.
Out of scope: factual lookups ("what's the latest X") — that's WebSearch, not review.
## Own thinking first (load-bearing)
Before ANY review style: do your own research, form your own proposal with rationale and
trade-offs, show it to the user. Only then invoke reviewers to critique it. Asking a reviewer
before forming your own position turns it into a seed for the decision instead of a validator —
and a reviewer without your codebase context can confidently seed something wrong.
## The three styles
### 1. Devil's Advocate (single critique)
Spawn `idea-validator` with a self-contained artifact (the design/decision/plan pasted inline,
plus the file paths it should actually read). Or send the same artifact to your external model
if the claim is about tech or the outside world.
### 2. Boardroom Debate (parallel validation — the headline pattern)
1. Write ONE self-contained artifact. Paste content inline — never rely on file references a
brief-only reviewer might silently fail to load.
2. Launch ALL reviewers in the SAME message (parallel calls). Sequential calls destroy
independence — a later reviewer sees the earlier one's framing.
3. Build an acceptance ledger: | Concern | Reviewer A | Reviewer B | My evaluation | Action |
4. **Adjudicate, never count votes.** All agreeing can share a blind spot; one dissenter with a
file:line beats abstract agreement. A code-reading reviewer outranks a brief-only one on
facts about the code. The procedure in full — the three acceptance layers and the
claim→cheapest-decisive-check table — is `reference/orchestrator-fact-check.md`.
5. Present the ledger critically: where you accept, where you push back, and why. You make the
final call — reviewer output is INPUT, not the decision.
### 3. Round-Table (choosing between paths)
Diverge → deepen → converge, with a mandatory user check-in before convergence:
ground the facts (web-check) → generate/challenge options broadly → kill weak ones down to 2-3
with concrete arguments → **present survivors to the user, ask for preference** → converge on
one primary + a kill list → fact-check the final claims → synthesize.
## Critical evaluation rule
After every reviewer call: challenge each recommendation (fact or speculation?), check for
missing context the reviewer couldn't see, verify numbers (predictions are not measurements),
and present a table — reviewer said / my evaluation / action.
Anti-patterns: forwarding reviewer output as-is · accepting everything · treating reviewer
confidence as correctness · running reviews for trivial/stylistic choices · sequential
"parallel" calls.From awrshift/agent-memory-kit, MIT.
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Signals
- Stars
- 34
- Forks
- 9
- Open issues
- 1
- Last commit (this folder)
- Oct 22, 2026 (7 days ago)
- Last release
- Oct 22, 2026 (6 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/awrshift/agent-memory-kit
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from awrshift
- 0.658score
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Periodic evidence-based self-audit of the whole agent system — the orchestrator, its docs/SSOTs, rules, memory, subagents, tools, infra and the work it claims…
SkillAFreshness: A★ 34Claude Code +9 - 0.653score
close-session
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End-of-session ritual — audit today's patterns against accumulated memory, propose promotions, refresh MEMORY.md, and write the session handoff.
SkillAFreshness: A★ 34Claude Code +9 - 0.653score
code-sync
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Reconcile the project's documents with what the code now shows, after a merge or at the end of a build: spec statuses (building → done only with a named gate…
SkillAFreshness: A★ 34Claude Code +9 - 0.653score
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SkillAFreshness: A★ 34Claude Code +9 - 0.653score
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SkillAFreshness: A★ 34Claude Code +9 - 0.653score
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End-of-session adversarial review loop.
SkillAFreshness: A★ 34Claude Code +9
Cite this page
second-opinion skill. Agent Mart. https://agentmart.dev/skills/awrshift-second-opinion (last updated 2026-10-24)