field-notes-post

A tool that creates four branded social-media images from a batch of the user's photos and the day's SAM agent activity. The outputs cover a landscape hero, landscape grid, portrait timeline, and vertical story.

In plain words
What is it for?
Use it to make a day's social content from walk or trip photos while showing what the user's agents shipped. It produces image variations suited to a hero post, grid, timeline, and story.
Why use it?
It turns personal photos and a record of agent work into a coordinated set of social-post formats without preparing each layout separately.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/raphaeltm/simple-agent-manager/field-notes-post
Any agent
npx skills add raphaeltm/simple-agent-manager --skill field-notes-post
Clone the repo
git clone --depth 1 https://github.com/raphaeltm/simple-agent-manager

Made for: Claude Code, Codex.

Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,398 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. Scan, not verified.
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 $0.00073 $0.01398
Opus 5 $0.00036 $0.00699
Sonnet 5 $0.00015 $0.00280
Haiku 4.5 $0.00007 $0.00140

Measured 2d ago against content hash 9bf3e42f0fd7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

field-notes-post scanned grade B 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 2d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (templates/render.cjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

sudo npx playwright install-deps chromium # if shared libs are missing
.agents/skills/field-notes-post/SKILL.md · 97 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

6 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. 2d ago First seen · 97 lines · 73 tokens per session scan B 9bf3e42f0fd7

Subscribe to this mod's changes

field-notes-post is a skill published in the GitHub repository raphaeltm/simple-agent-manager (55 stars, last pushed 2d ago), licensed AGPL-3.0. It adds 73 tokens to every session and 1,398 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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