Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/andersonamaral2/Claude-Code-to-Deep-Agents-Skills-Converternpx agentmods add skills/andersonamaral2/claude-code-to-deep-agents-skills-converter/deep-agents-output-3Wrote 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/skills/andersonamaral2/claude-code-to-deep-agents-skills-converter/deep-agents-output-3)<a href="https://agentmods.dev/skills/andersonamaral2/claude-code-to-deep-agents-skills-converter/deep-agents-output-3"><img src="https://agentmods.dev/badge/skills/andersonamaral2/claude-code-to-deep-agents-skills-converter/deep-agents-output-3/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/skills/andersonamaral2/claude-code-to-deep-agents-skills-converter/deep-agents-output-3"><img src="https://agentmods.dev/badge/skills/andersonamaral2/claude-code-to-deep-agents-skills-converter/deep-agents-output-3.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 | $0.00058 | $0.02094 |
| Opus 5 | $0.00029 | $0.01047 |
| Sonnet 5 | $0.00012 | $0.00419 |
| Haiku 4.5 | $0.00006 | $0.00209 |
Grade C, and why
express-jwt-postgres-api scanned grade C with 2 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 12d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.0/install.sh | bash Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| `execute` | Run npm, docker, curl, and inline tests | How it starts
The opening of the file, as written. The whole thing — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Express.js JWT API with PostgreSQL and Docker
Builds a production-style Express.js REST API with JWT authentication, a PostgreSQL database, layered middleware, and Docker Compose for local development.
Execution Context
This skill runs inside Deep Agents CLI (v0.0.34+). Available tools:
| Tool | Usage in this skill |
|---|---|
write_todos |
Plan the build steps |
execute |
Run npm, docker, curl, and inline tests |
write_file |
Create source files, SQL, compose, and .env |
edit_file |
Adjust files if a test reveals an issue |
Critical execution rules:
- Always start by creating the plan via
write_todos. - Create files one by one via
write_file— never generate everything at once. - Test each module via
executeimmediately after creating it. - Verify required environment variables before starting the server.
Execution Plan (use with write_todos)
- 1. Check prerequisites (Node.js 18+, npm, Docker, Docker Compose)
- 2. Verify environment variables (JWT_SECRET, DATABASE_URL, PORT)
- 3. Initialize project and install dependencies
- 4. Create src/db.js (PostgreSQL pool)
- 5. Create middleware (auth.js, logger.js)
- 6. Create routes (auth.js, notes.js)
- 7. Create src/index.js entry point
- 8. Create db/init.sql and docker-compose.yml
- 9. Create .env, start the database, run the API
- 10. Test the full register → login → create-note flow
Prerequisites Check
Use execute to verify the toolchain:
node --version # requires 18+
npm --version
docker --version
docker compose version
Environment Setup
Verify required environment variables via execute:
for var in JWT_SECRET DATABASE_URL; do
if [ -z "${!var}" ]; then
echo "WARNING: $var not set — will fall back to .env defaults"
fi
done
echo "Environment check done"
Security note: Never hardcode production secrets. The .env below uses placeholders; keep it out of version control via .gitignore.
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.
- 12d ago First seen · 309 lines · 58 tokens per session scan C acb59f911395
express-jwt-postgres-api is a skill published in the GitHub repository andersonamaral2/Claude-Code-to-Deep-Agents-Skills-Converter (57 stars, last pushed yesterday), licensed MIT. It adds 58 tokens to every session and 2,094 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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