A review step that asks a new agent instance, unfamiliar with the current discussion or work, to give an independent opinion. It can split the review across several instances by area.

Use it when comparing options, reconsidering a decision, reviewing recent work, or checking whether a solution feels added after the fact.

People and agents can get stuck defending a decision or adapting their reasoning to earlier work. An outside read can expose that bias and force a clear choice.

fresh-eyes — Skill for Claude Code by lsnackerman/raw-clauding-skills

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 lsnackerman/raw-clauding-skills --skill fresh-eyes

Clone the repo

git clone --depth 1 https://github.com/lsnackerman/raw-clauding-skills

Made for: Claude Code.

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/lsnackerman/raw-clauding-skills/fresh-eyes/github.svg)](https://agentmods.dev/skills/lsnackerman/raw-clauding-skills/fresh-eyes)

Your own site

<a href="https://agentmods.dev/skills/lsnackerman/raw-clauding-skills/fresh-eyes"><img src="https://agentmods.dev/badge/skills/lsnackerman/raw-clauding-skills/fresh-eyes/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/lsnackerman/raw-clauding-skills/fresh-eyes"><img src="https://agentmods.dev/badge/skills/lsnackerman/raw-clauding-skills/fresh-eyes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,009 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 unknown 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	$0.00082	$0.02009
Opus 5.5	$0.00033	$0.00804
Sonnet 5.5	$0.00016	$0.00402
Haiku 4.5	$0.00008	$0.00201

Measured 19d ago against content hash f404cdb298bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

fresh-eyes 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 19d 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.

fresh-eyes/SKILL.md · 66 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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.

19d ago First seen · 66 lines · 82 tokens per session scan A f404cdb298bc

Subscribe to this mod's changes

fresh-eyes is a skill published in the GitHub repository lsnackerman/raw-clauding-skills (46 stars, last pushed 12d ago), with no licence file. It adds 82 tokens to every session and 2,009 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 2026-10-19.

Planning claude-skills

fresh-eyes next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
fresh-eyeslsnackerman/raw-clauding-skills	Skill	46	12d ago	none	A	82	Claude Code
exploratory-data-analysisK-Dense-AI/scientific-agent-skills	Skill	56k	4d ago	MIT	A	83	Claude Code
webhook-managementhoangsonww/Claude-Code-Agent-Monitor	Skill	1.1k	yesterday	MIT	A	56	Claude Code, Codex
gesellschaftsrechtliche-satzungen-agbKlotzkette/claude-fuer-deutsches-recht	Skill	1.8k	yesterday	Apache-2.0	A	69	Claude Code
accessibility-patternsvibeeval/vibecosystem	Skill	539	2d ago	MIT	A	24	Claude Code, Codex
design-reviewjezweb/claude-skills	Skill	1.1k	28d ago	MIT	A	108	Claude Code
react-patternsjezweb/claude-skills	Skill	1.1k	28d ago	MIT	A	110	Claude Code