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/squad-research)<a href="https://agentmods.dev/commands/lckx777/copy-chief-black/squad-research"><img src="https://agentmods.dev/badge/commands/lckx777/copy-chief-black/squad-research/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/squad-research"><img src="https://agentmods.dev/badge/commands/lckx777/copy-chief-black/squad-research.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 | $0.00010 | $0.00850 |
| Opus 5 | $0.00005 | $0.00425 |
| Sonnet 5 | $0.00002 | $0.00170 |
| Haiku 4.5 | $0.00001 | $0.00085 |
Grade A, and why
squad-research 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 7d 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Squad Research (Parallel VOC Extraction)
⚠️ POWER USER ONLY (v6.2): Este command requer setup avançado. RECOMENDADO:
audience-research-agentpara a maioria dos casos. Ver~/.claude/WORKFLOW-CANONICO.mdpara o fluxo padrão.Pré-requisitos:
- tmux instalado (
brew install tmux)- gh autenticado (
gh auth login)- claude-squad instalado (
brew install claude-squad)Quando usar:
- Múltiplas ofertas simultaneamente
- Deadline crítico (speedup 2-3x)
- Budget de tokens não é concern (4×200k = 800k)
Execute parallel research for: $ARGUMENTS
⚡ SPEEDUP: 90-180min → 30-60min (2-3x faster)
Pre-Flight Checks
which tmux # ✓ Tmux installed
gh auth status # ✓ GitHub authenticated
cs version # ✓ Claude-squad available
Execution
# Run wrapper script
cd ~/copywriting-ecosystem
./parallel-research.sh $ARGUMENTS
Manual Steps (After Script)
1. Open claude-squad TUI
cd ~/copywriting-ecosystem/[nicho]/[offer]
cs
2. Create 4 sessions (press 'n' four times)
youtube-extractioninstagram-extractiontiktok-extractionbr-sources-extraction
3. For EACH session:
a) Select session (arrow keys ↑/↓)
b) Press Enter to attach
c) Paste task prompt from /tmp/squad-tasks/[module].txt
d) Press Ctrl+b, then d to detach
4. Monitor completion (separate terminal)
watch -n 5 'ls -lh ~/copywriting-ecosystem/*/[offer]/research/voc/*/summary.md'
5. When ALL 4 complete, check quality gates:
- All 4 summary.md exist
- Token count ≤500 each
- Confidence ≥70% in each module
- No extraction errors in logs
Synthesis
After all 4 modules complete:
/agent synthesizer "
OFFER: [offer-name]
TASK: Merge research outputs
INPUTS:
- research/voc/youtube/summary.md
- research/voc/instagram/summary.md
- research/voc/tiktok/summary.md
- research/voc/br-sources/summary.md
OUTPUT: research/voc/synthesis.md (≤15K tokens)
"
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.
- 7d ago First seen · 122 lines · 10 tokens per session scan A c95049aff642
squad-research is a command published in the GitHub repository lckx777/copy-chief-black (5 stars, last pushed 6mo ago), licensed MIT. It adds 10 tokens to every session and 850 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 2026-09-03.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.