A review checklist for completed actuarial reserve analysis, where reserves are estimates of money set aside for future insurance claims. It checks the work against professional actuarial standards.

Use it to review the largest reserves, compare different methods with numerical evidence, and write clear suggestions for human or AI users.

It helps find important weaknesses or unexplained differences after the initial analysis is finished, without replacing the analyst’s judgment.

peer-review — Skill for Claude Code by cas-team-analyst

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 cas-team-analyst/team-analyst --skill peer-review

Clone the repo

git clone --depth 1 https://github.com/cas-team-analyst/team-analyst

Made for: Claude Code.

Or install team-analyst, the plugin that ships this one along with the rest of its 7 skills, 6 agents.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/cas-team-analyst/team-analyst/peer-review/github.svg)](https://agentmods.dev/skills/cas-team-analyst/team-analyst/peer-review)

Your own site

<a href="https://agentmods.dev/skills/cas-team-analyst/team-analyst/peer-review"><img src="https://agentmods.dev/badge/skills/cas-team-analyst/team-analyst/peer-review/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/cas-team-analyst/team-analyst/peer-review"><img src="https://agentmods.dev/badge/skills/cas-team-analyst/team-analyst/peer-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 455 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.

Model	Per session	Once invoked
Fable 5.1	$0.00030	$0.00455
Opus 5	$0.00015	$0.00228
Sonnet 5	$0.00006	$0.00091
Haiku 4.5	$0.00003	$0.00046

Measured 10d ago against content hash 985d9fe8f450, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

peer-review 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 10d 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.

skills/peer-review/SKILL.md · 31 lines

What it actually says

Actuarial Peer Review

Key principles:

Advisory only - propose, never override. Use language like "consider whether…" and "this may warrant…"
Materiality-first - focus on largest reserves and widest method spreads
ASOP-grounded - check against ASOP 23, 25, 36, 41, 43 standards
Show your work - when proposing alternatives, include the numeric comparison
Clear feedback - findings actionable by both AI and human users

Startup Steps

Follow Every Time BEFORE reading PEER_REVIEW_PROGRESS.md

Identify and mount the plugin skill folder (if applicable, NOT the anthropic-skills folder).
Identify the analysis folder - where the completed analysis lives (project root folder).
Check for an existing PEER_REVIEW_PROGRESS.md in the analysis folder and use it to understand what the next step is.
Only if no PEER_REVIEW_PROGRESS.md exists: use bash cp to copy PEER_REVIEW_PROGRESS.md from skill assets into the analysis folder. Do NOT read or write it to copy it. Send it to the user as a file so they can see it. Track the PEER_REVIEW_PROGRESS.md steps in the task list as you go.
Begin the next incomplete step in PEER_REVIEW_PROGRESS.md.

Cowork Agent Guidelines

Applies only when running as a Cowork agent (see Startup Steps).

File operations: Use cp for file operations. Convert Windows paths to Unix: C:\Users\... → /mnt/c/Users/.... Mount skill folder first if accessing templates.
Output: Write findings to PEER_REVIEW_REPORT.md in the analysis folder root (alongside REPORT.md, REPLICATE.md, PROGRESS.md, PEER_REVIEW_PROGRESS.md).
Other: Cache out of date? Suggest close/reopen Cowork. Never use unicode symbols in commands.

Files

What ships with it

8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

10d ago First seen · 31 lines · 30 tokens per session scan A 985d9fe8f450

Subscribe to this mod's changes

peer-review is a skill published in the GitHub repository cas-team-analyst/team-analyst (11 stars, last pushed 7d ago), licensed MIT. It adds 30 tokens to every session and 455 once invoked, about $0.0002 per session on Opus 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 2026-08-30.

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peer-review