camp-1: Skill for Claude Code

.agents/skills/day4-wrap-and-analyze/SKILL.md

day4-wrap-and-analyze is a skill for Claude Code, Codex from ai-native-camp/camp-1. It costs 73 tokens per session (2,453 once invoked), scanned A, original, no licence file.

A Day 4 session tool for creating a session-wrap skill and reviewing work from earlier sessions.

In plain words
What is it for?
Use it to wrap up the fourth day of work, review session history, and analyze what happened during a coding-agent session.
Why use it?
It helps turn a work session into a summary and analysis instead of leaving useful findings scattered across history.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

This is ai-native-camp/camp-1's own configuration. It tells Claude Code and Codex how to work on camp-1 itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything camp-1 configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ai-native-camp/camp-1. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ai-native-camp/camp-1/main/.agents/skills/day4-wrap-and-analyze/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/ai-native-camp/camp-1

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 day4-wrap-and-analyze

README.md
[![agentmods](https://agentmods.dev/badge/skills/ai-native-camp/camp-1/day4-wrap-and-analyze/github.svg)](https://agentmods.dev/skills/ai-native-camp/camp-1/day4-wrap-and-analyze)
Your own site
<a href="https://agentmods.dev/skills/ai-native-camp/camp-1/day4-wrap-and-analyze"><img src="https://agentmods.dev/badge/skills/ai-native-camp/camp-1/day4-wrap-and-analyze/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 day4-wrap-and-analyze

Your own site · 80×15
<a href="https://agentmods.dev/skills/ai-native-camp/camp-1/day4-wrap-and-analyze"><img src="https://agentmods.dev/badge/skills/ai-native-camp/camp-1/day4-wrap-and-analyze.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,453 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 18 Mar 2026
  • Snyk pass 18 Feb 2026
How audits are shown
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00073 $0.02453
Opus 5 $0.00036 $0.01226
Sonnet 5 $0.00015 $0.00491
Haiku 4.5 $0.00007 $0.00245

Measured 11d ago against content hash 75438b0509ef, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

day4-wrap-and-analyze scanned grade A with 1 finding 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 11d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- Claude Code 관련 질문이 오면 claude-code-guide 에이전트(내장 도구)로 답변한다. 답변 후 사용자가 직접 따라할 수 있게 단계별로 안내하고, 질문할 때는 AskUserQuestion을 사용한다. 내장 에이전트 답변이 부정확하다고 판단되면, 공식 문서를 `curl`로 파일에 저장한 뒤 Read 툴로 꼼꼼히 읽고 정확한 정보로 다시 답한다 (WebFetch는 요약/손실
.agents/skills/day4-wrap-and-analyze/SKILL.md · 199 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

5 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.

  1. 11d ago First seen · 199 lines · 73 tokens per session scan A 75438b0509ef

Subscribe to this mod's changes

day4-wrap-and-analyze is a skill published in the GitHub repository ai-native-camp/camp-1 (246 stars, last pushed 6mo ago), with no licence file. It adds 73 tokens to every session and 2,453 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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