second-opinion

second-opinion is a skill for Claude Code, Codex from acn-ericlaw/agent-memory. It costs 66 tokens per session (1,974 once invoked), scanned A, original, Apache-2.0.

A review snapshot that gives a fresh AI session the current task context so it can offer an independent second opinion.

In plain words
What is it for?
Use it at milestones, when blocked or uncertain, or before risky changes. It prepares information for a clean-memory reviewer and shows a security warning before export.
Why use it?
Long coding sessions can build up unchecked assumptions, especially when work seems finished or a change feels risky. This helps catch problems before you proceed or close the task.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it at milestones, when blocked or uncertain, or before risky changes. It prepares information for a clean-memory reviewer and shows a security warning before export.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/acn-ericlaw/agent-memory/second-opinion
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add acn-ericlaw/agent-memory --skill second-opinion
Clone the repo
git clone --depth 1 https://github.com/acn-ericlaw/agent-memory

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for second-opinion

README.md
[![agentmods](https://agentmods.dev/badge/skills/acn-ericlaw/agent-memory/second-opinion/github.svg)](https://agentmods.dev/skills/acn-ericlaw/agent-memory/second-opinion)
Your own site
<a href="https://agentmods.dev/skills/acn-ericlaw/agent-memory/second-opinion"><img src="https://agentmods.dev/badge/skills/acn-ericlaw/agent-memory/second-opinion/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for second-opinion

Your own site · 80×15
<a href="https://agentmods.dev/skills/acn-ericlaw/agent-memory/second-opinion"><img src="https://agentmods.dev/badge/skills/acn-ericlaw/agent-memory/second-opinion.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,974 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.01974
Opus 5.5 $0.00026 $0.00790
Sonnet 5.5 $0.00013 $0.00395
Haiku 4.5 $0.00007 $0.00197

Measured 1mo ago against content hash 5a0ff4b490f1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

second-opinion scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agent-skills/second-opinion/SKILL.md · 175 lines

How it starts

The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.

second-opinion

⚠️ Tool-managed skill provided by agent-memory (provenance: agent-memory-builtin). Don't edit it in place — it is overwritten on upgrade. To change behavior: fork it under a new skill name, or upstream a genuine fix to the agent-memory project (file an issue in its repo, or bring it to the tool maintainer) for back-port + validation. See SKILLS.md → "Tool-provided (system) skills".

A deliberate fresh-context review ritual. A long session accumulates assumptions and self-trust — the agent that built a solution over-trusts its own trajectory. This skill packages a compact snapshot of the current task so a reviewer with clean memory (a fresh session, or a different vendor) can challenge it. The reviewer's value is precisely that it did not live the session.

Pairs with apply-critique, which consumes the critique the reviewer hands back.

When to use

  • Milestone mode — the work looks complete and you're about to close it. This is the highest-value case: the in-session agent is least likely to challenge itself exactly when it feels done.
  • Reactive mode — you're blocked, uncertain, the logic seems inconsistent, several designs compete, or the change is high-stakes.

Invoked by the human, on demand. It never runs during ordinary work.

What to do

  1. Determine the trigger from how the human invoked you — milestone vs. reactive. Note it in the snapshot's Exchange Intent.

  2. Show the security advisory and wait for explicit acknowledgment. Packaging task state for another AI system is a trust-boundary event, even when the reviewer is internal. Print this verbatim and stop until the human types acknowledge (or cancels) — do not generate the snapshot first:

    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
    Fresh-Context Review — Snapshot Advisory
    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
    You are about to generate a work-in-progress snapshot for review by another
    AI system (a clean session or a different vendor). Before you share it, ensure:
    
    - no client secrets, credentials, or tokens are included;
    - no personally identifiable information (PII) is exposed;
    - the content is appropriate to share beyond this project's perimeter.
    
    You may prefer a reviewer inside your organization's security boundary. Even
    then, review before sharing — think of it as handing context to a trusted
    collaborator. Power comes with responsibility.
    
    Type "acknowledge" to proceed, or cancel.
    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
    

Read the full file on GitHub · 175 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 175 lines · 66 tokens per session scan A 5a0ff4b490f1

Subscribe to this mod's changes

second-opinion is a skill published in the GitHub repository acn-ericlaw/agent-memory (5 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 66 tokens to every session and 1,974 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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