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/demondamon/agenticx/code-deep-researchnpx skills add DemonDamon/AgenticX --skill code-deep-researchgit clone --depth 1 https://github.com/DemonDamon/AgenticXWhat 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 | $0.00037 | $0.00685 |
| Opus 5 | $0.00018 | $0.00342 |
| Sonnet 5 | $0.00007 | $0.00137 |
| Haiku 4.5 | $0.00004 | $0.00068 |
Grade A, and why
code-deep-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 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Deep Research
Overview
Research an upstream repository from a locked commit, compare it with verified AgenticX code, and make an evidence-backed adoption decision. The local upstream clone is the source of truth; MCP tools accelerate discovery but never replace source verification.
When to Use
Use for:
/codedeepresearchrequests.- “调研这个 GitHub 项目能否集成进 AgenticX”。
- Comparing an upstream framework, SDK, agent runtime, tool, memory, planner, UI, or protocol with AgenticX.
- Producing
ADOPT,SELECTIVE_ADOPT, orDO_NOT_ADOPTrecommendations.
Do not use for:
- Implementing an already-approved plan.
- General web research without a required GitHub repository.
- A quick API lookup or a review of one known source file.
Required References
Before taking research actions:
- Read WORKFLOW.md completely.
- Copy its S0–S8 status ledger into
research/codedeepresearch/<repo_name>/meta.md. - Read TEMPLATES.md before creating research artifacts.
Do not infer the workflow from this summary alone.
Non-Negotiable Rules
- Clone the repository into
research/codedeepresearch/<repo_name>/upstream/and lock its SHA. - A failed clone blocks normal research. Do not emit Gap, Proposal, P0/P1, or an adoption verdict.
- Verify implementation claims against local source using
SHA + path + line range + symbol. - DeepWiki, GitHub MCP, and ZRead are optional accelerators. Discover their schemas before use; failure must follow the documented fallback.
- ZRead quota failure never makes a successful local-source study “incomplete”.
- Do not modify AgenticX production code during research.
- Do not invent benchmarks, user needs, issue numbers, runtime validation, or repository behavior.
- Do not create an implementation plan or code task unless the user separately requests implementation.
Decision Rule
Determine Gap priority first, then derive the verdict:
ADOPT: at least one valid P0.SELECTIVE_ADOPT: no P0, but at least one evidence-backed P1 with a real user problem.DO_NOT_ADOPT: only P2/NO-GAP, unvalidated demand, or insufficient value.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 68 lines · 37 tokens per session scan A 04f0b7c3e9f4
code-deep-research is a skill published in the GitHub repository DemonDamon/AgenticX (219 stars, last pushed 2d ago), licensed Apache-2.0. It adds 37 tokens to every session and 685 once invoked, about $0.0002 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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Reference for writing a Workflow tool script (script API and gotchas, resume, quality patterns, worked examples). Load before authoring a script for a workflow the user already opted into; it does not itself authorize running one.