claude-code-eyes: Instructions file for Claude Code

CLAUDE.md

claude-code-eyes CLAUDE.md is an instructions file for Claude Code from fcavalcantirj/claude-code-eyes. It costs 1,201 tokens per session, scanned A, original, MIT.

Repository instructions for a Claude Code skill that captures images from a camera so Claude can inspect them.

In plain words
What is it for?
Use them when editing, configuring, or testing the camera skill, including its snapshot script, setup script, and configuration files.
Why use it?
They preserve security rules around camera configuration and prevent untested camera backends from being shipped.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: reads .claude/ paths; mentions Claude Code.

This is fcavalcantirj/claude-code-eyes's own configuration. It tells Claude Code how to work on claude-code-eyes 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 claude-code-eyes configures →

Reuse

Borrowing it

Nothing to install: this file belongs to fcavalcantirj/claude-code-eyes. 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/fcavalcantirj/claude-code-eyes/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/fcavalcantirj/claude-code-eyes

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Per session 1,201 This file is loaded in full into every session.
When invoked 1,201 The same file — it is already loaded in full.
Security scan A 1 finding. 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 $0.01201 $0.01201
Opus 5.5 $0.00480 $0.00480
Sonnet 5.5 $0.00240 $0.00240
Haiku 4.5 $0.00120 $0.00120

Measured 1mo ago against content hash cd61ca6b80c2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

claude-code-eyes CLAUDE.md 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 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.

Makes network callslowCapability

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

- **Keep the soul.** The reason this beats a one-line `curl | Read` is the three
CLAUDE.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

claude-code-eyes — notes for Claude Code

This repository is a single Claude Code skill (repo root = the skill folder). If you're editing it with Claude Code, keep the invariants below — each was learned the hard way, and the tests/validator won't always catch you breaking them.

What it is

A camera-vision skill. snap.sh grabs a frame from a snapshot-capable camera and prints its path; Claude Reads the path to see it. SKILL.md is the skill itself; setup.sh writes the camera config and verifies it; the rest is docs/metadata.

Load-bearing invariants (do not "simplify" these away)

  • The CCE_KEYS allowlist in snap.sh and setup.sh is a security boundary. Config files (./.cce.env, ~/.config/claude-code-eyes/config) are parsed, never sourced — a config file must not be able to execute code or set arbitrary variables. The allowlist check runs before the value ever reaches eval/printf -v. Keep it exactly there.
  • Never ship a backend you haven't actually run. The local ffmpeg webcam path is documented in the README but deliberately not implemented in snap.sh, because it can't be tested headlessly (macOS gates camera access behind an interactive permission prompt). Mark untested things untested, or leave them out.
  • Keep the soul. The reason this beats a one-line curl | Read is the three disciplines in SKILL.md: visual-verify (catch what green tests can't), the wiring-mentor protocol, and "know what your instrument can and cannot see." Don't trim SKILL.md back down to a webcam grab.
  • snap.sh must stay portable to bash 3.2 (the default /bin/bash on macOS) and Linux. Preserve the empty-array-under-set -u guard (${AUTH_ARGS[@]+"${AUTH_ARGS[@]}"}), avoid GNU-only flags, and write output to ${TMPDIR:-/tmp}.

Frontmatter rules (enforced by the skill-creator validator)

SKILL.md frontmatter allows only these keys: name, description, license, allowed-tools, metadata, compatibility. name is kebab-case, ≤ 64 chars. description is ≤ 1024 chars and must contain NO angle brackets (< >) — write usage hints as words, not with bracketed placeholders. Validate with the skill-creator plugin's quick_validate.py <skill-dir> (prints Skill is valid!, exit 0).

Read the full file on GitHub · 91 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 · 91 lines · 1,201 tokens per session scan A cd61ca6b80c2

Subscribe to this mod's changes

claude-code-eyes CLAUDE.md is an instructions file published in the GitHub repository fcavalcantirj/claude-code-eyes (52 stars, last pushed 2mo ago), licensed MIT. It adds 1,201 tokens to every session, about $0.0048 per session on Opus 5.5. 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.

Related

Other instructions, from other repositories