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.
npx agentmods add skills/eliaalberti/dcode-agent-kit/new-dcode-agentnpx skills add EliaAlberti/dcode-agent-kit --skill new-dcode-agentgit clone --depth 1 https://github.com/EliaAlberti/dcode-agent-kitWhat 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 | $0.00109 | $0.02695 |
| Opus 5 | $0.00055 | $0.01347 |
| Sonnet 5 | $0.00022 | $0.00539 |
| Haiku 4.5 | $0.00011 | $0.00269 |
Grade A, and why
new-dcode-agent 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 2d 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 — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/new-dcode-agent
You are running the /new-dcode-agent skill. It scaffolds a working agent for the user. Everything it writes is SELF-CONTAINED, so it works from any folder, with no dependency on this skill's own location. Run no git; the user commits.
The three forms (keep them straight)
- SDK program: a standalone Python agent (LangChain
create_deep_agent) the user runs or deploys. Scaffolded into./<name>/in the user's current directory. - dcode agent: a named identity for the dcode CLI (an
AGENTS.md) the user chats with via/agents. Scaffolded into~/.deepagents/<name>/AGENTS.md. - both: a dcode agent that acts as the cockpit for a deployed SDK program.
(This is NOT Claude Code's own subagents, which are a different feature.)
Phase 1: Interview (use AskUserQuestion; batch related questions)
- Form: SDK program / dcode agent / both.
- name (kebab-case; reject names starting with
_, names that match an existing target, or shell-unsafe names). - purpose: one or two sentences.
- (SDK or both): closest starting flavour (custom / project / work-jira / vps-ops / personal); the tools it needs (plain Python functions, plus any MCP servers); the model (a
provider:modelstring for any LangChain provider, or the bundled env-driven connector below); does it change anything? (if yes, it gets an approval gate); how it will run (one-shot / long-running / scheduled / server). - (dcode agent or both): what it knows and operates; which tools or MCP it leans on; its operating rules.
Phase 2: Spec
Show the user exactly what you will create: the target paths, the tools, the model, and the safety posture. Wait for explicit confirmation. Do not write anything until they confirm.
Phase 3: Scaffold
SDK program (form = SDK or both): write ./<name>/ in the user's current directory
Create the folder <name>/ with three files. It is self-contained: agent.py imports its connector from the sibling model.py (a same-directory import, so there is no path manipulation at all).
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.
- 2d ago First seen · 203 lines · 109 tokens per session scan A 2298e45e13c3
new-dcode-agent is a skill published in the GitHub repository EliaAlberti/dcode-agent-kit (57 stars, last pushed 2mo ago), licensed MIT. It adds 109 tokens to every session and 2,695 once invoked, about $0.0005 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 2026-08-30.
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