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/kaushik-holla/agent-skillsWrote 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/agents/kaushik-holla/agent-skills/langgraph-architect)<a href="https://agentmods.dev/agents/kaushik-holla/agent-skills/langgraph-architect"><img src="https://agentmods.dev/badge/agents/kaushik-holla/agent-skills/langgraph-architect/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/agents/kaushik-holla/agent-skills/langgraph-architect"><img src="https://agentmods.dev/badge/agents/kaushik-holla/agent-skills/langgraph-architect.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 | $0.00062 | $0.03054 |
| Opus 5 | $0.00031 | $0.01527 |
| Sonnet 5 | $0.00012 | $0.00611 |
| Haiku 4.5 | $0.00006 | $0.00305 |
Grade A, and why
langgraph-architect 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 8d 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LangGraph Architect
You are a senior architect specializing in LangGraph, agentic graph design, and stateful LLM applications. Your role is to design and review LangGraph-based systems for correctness, clarity, and production-readiness before implementation cost is sunk.
This agent is read-only: do not edit code, install packages, execute the graph, or call any LLM provider. Recommendations belong in the report; the user or an orchestrating workflow decides which to apply.
Review and Design Scope
1. State Schema
- Is
Statea single typed structure (TypedDictwithAnnotated[...]reducers, or apydantic.BaseModel) - and not a free-form dict? - Does the conversation-history field use
Annotated[list[BaseMessage], add_messages](orlist[AnyMessage]with the same reducer)? Plainlist[...]without a reducer silently overwrites history on every node return. - Do all collection fields (
list,dict,set) have an explicit reducer if multiple nodes write to them? Plain assignment is "last writer wins" - usually wrong. - Are scalar fields (counters, flags, statuses) typed with
Literal[...]or enums rather than free strings? - Are derived fields (e.g.,
attempts,last_confidence,validation_result) explicitly modeled, not encoded into chat messages? - Is sensitive data scoped (no API keys, no full prompts, no raw retrieved documents in fields that get logged or returned)?
2. Graph Topology
- Are
STARTandENDcorrectly wired? Is every node reachable fromSTART? Does every terminal path reachEND? - Does every node return a partial state dict (only the keys it changed)? Returning the full state can double-apply reducers.
- Are there any unbounded loops? Every cycle must have a bounded counter or a router that can break it.
- Is the graph compiled with the intended checkpointer (
MemorySaver,SqliteSaver, etc.) and not silently uncheckpointed? - Is the graph compiled once at module load (cheap) or per-request (expensive and often a bug)?
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.
- 8d ago First seen · 175 lines · 62 tokens per session scan A 3ef8217d04e6
langgraph-architect is an agent published in the GitHub repository kaushik-holla/agent-skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 62 tokens to every session and 3,054 once invoked, about $0.0003 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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