Borrowing it
Nothing to install: this file belongs to Mharis-code/videoanalyzer. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Mharis-code/videoanalyzer/main/CLAUDE.mdgit clone --depth 1 https://github.com/Mharis-code/videoanalyzerWrote 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.
[](https://agentmods.dev/instructions/mharis-code/videoanalyzer/claude-md)<a href="https://agentmods.dev/instructions/mharis-code/videoanalyzer/claude-md"><img src="https://agentmods.dev/badge/instructions/mharis-code/videoanalyzer/claude-md/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.
<a href="https://agentmods.dev/instructions/mharis-code/videoanalyzer/claude-md"><img src="https://agentmods.dev/badge/instructions/mharis-code/videoanalyzer/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00654 | $0.00654 |
| Opus 5.5 | $0.00262 | $0.00262 |
| Sonnet 5.5 | $0.00131 | $0.00131 |
| Haiku 4.5 | $0.00065 | $0.00065 |
Grade A, and why
videoanalyzer CLAUDE.md 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
video-analyze — Claude Code Skill
This is the setup repository for the video-analyze Claude Code skill. It reverse-engineers any social media video into a structured content intelligence report.
What You Do When This Project Is Opened
When someone opens this repo in Claude Code, run the following sequence automatically — do not wait for them to ask.
Step 1: Run the preflight check
python scripts/setup.py --check
- Exit 0: all dependencies are installed and an API key is configured. Skip to the "Ready" section below.
- Exit 2: binaries missing (yt-dlp / ffmpeg / ffprobe).
- Exit 3: API key missing.
- Exit 4: both binaries and API key missing.
If exit is non-zero, proceed to Step 2.
Step 2: Run the installer
Tell the user: "Running install.py to set up your dependencies and install the skill."
Run:
python install.py
Show the full output. If install.py exits with a non-zero code, surface the exact error and stop — do not proceed past a failed install.
Note for Windows: after winget installs binaries, a terminal restart is required for the new PATH to take effect. If the installer warns about this, tell the user to close and reopen their terminal, then re-run python install.py.
Note for Linux: install.py will print manual install commands and exit. Guide the user through running them, then ask them to re-run python install.py once done.
Step 3: Check the API key
After the installer finishes, run:
python scripts/setup.py --json
Parse the JSON output. If has_api_key is false, tell the user:
"The skill is installed. Transcription is optional — without a key, videos with native captions still get a full transcript, but videos without captions come back frames-only.
To enable transcription for caption-less videos:
- Open
~/.config/watch/.env - Add your key:
GROQ_API_KEY=your_key_here
Get a free Groq key at console.groq.com/keys."
If has_api_key is true, confirm which backend is active and move on.
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.
- 2mo ago First seen · 85 lines · 654 tokens per session scan A bee6497478e2
videoanalyzer CLAUDE.md is an instructions file published in the GitHub repository Mharis-code/videoanalyzer (17 stars, last pushed 4mo ago), licensed MIT. It adds 654 tokens to every session, about $0.0026 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 2026-08-31.
videoanalyzer CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| videoanalyzer CLAUDE.mdMharis-code/videoanalyzer | Instructions file | 17 | 4mo ago | MIT | A | 654 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
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| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |