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.
git clone --depth 1 https://github.com/lckx777/copy-chief-blackWrote 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/commands/lckx777/copy-chief-black/inbox)<a href="https://agentmods.dev/commands/lckx777/copy-chief-black/inbox"><img src="https://agentmods.dev/badge/commands/lckx777/copy-chief-black/inbox/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/commands/lckx777/copy-chief-black/inbox"><img src="https://agentmods.dev/badge/commands/lckx777/copy-chief-black/inbox.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 | $0.00018 | $0.01352 |
| Opus 5 | $0.00009 | $0.00676 |
| Sonnet 5 | $0.00004 | $0.00270 |
| Haiku 4.5 | $0.00002 | $0.00135 |
Grade A, and why
inbox 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 10d 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 — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/inbox — Scan and Organize Drop Folder
Input: $ARGUMENTS
Scans a drop folder for new content and auto-organizes by type, offer, and niche using bifurcation intelligence (S38).
Instructions
When this command is invoked:
Step 1: Determine Target Folder
If $ARGUMENTS is provided, use that path as the folder.
If $ARGUMENTS is empty, use the default: ~/copywriting-ecosystem/inbox/
FOLDER="${ARGUMENTS:-~/copywriting-ecosystem/inbox/}"
Step 2: Verify Folder Exists
ls "$FOLDER" 2>/dev/null
If the folder does not exist, offer to create it:
Folder ~/copywriting-ecosystem/inbox/ does not exist.
Create it? This will be your drop folder for new content.
If user confirms, create with:
mkdir -p ~/copywriting-ecosystem/inbox/
Step 3: Scan for New Files
find "$FOLDER" -maxdepth 1 -type f \( -name "*.md" -o -name "*.pdf" -o -name "*.txt" -o -name "*.yaml" -o -name "*.png" -o -name "*.jpg" \) 2>/dev/null
If no files found:
Inbox is empty. Drop files into ~/copywriting-ecosystem/inbox/ and run /inbox again.
Supported file types: .md, .pdf, .txt, .yaml, .png, .jpg
Step 4: Classify Each File
For each discovered file, run classification:
bun run ~/copywriting-ecosystem/scripts/bifurcation.ts "<file>" --dry-run --json 2>/dev/null
Build a classification plan table:
INBOX SCAN: ~/copywriting-ecosystem/inbox/
Found 4 files to process.
FILE CLASSIFICATION DESTINATION
competitor-vsl.md OFFER_SPECIFIC saude/florayla/swipes/vsl/
tinnitus-voc-quotes.md NICHE_GENERIC saude/biblioteca_nicho_saude_CONSOLIDADA.md
copywriting-framework.md UNIVERSAL ~/.claude/knowledge/universal/copy-frameworks.md
neuvelys-research.pdf OFFER_SPECIFIC saude/neuvelys/research/
For files where classification is AMBIGUOUS (no clear signals), flag them:
⚠️ ambiguous-file.md — Low confidence classification. Manual review needed.
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.
- 10d ago First seen · 165 lines · 18 tokens per session scan A 33e057a6c1d0
inbox is a command published in the GitHub repository lckx777/copy-chief-black (5 stars, last pushed 6mo ago), licensed MIT. It adds 18 tokens to every session and 1,352 once invoked, about $0.0001 per session on Opus 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.
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