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 skills add agentsope/SkillAlchemy --skill agentsop-llm-tool-idempotencygit clone --depth 1 https://github.com/agentsope/SkillAlchemyWrote 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/agentsope/skillalchemy/agentsop-llm-tool-idempotency)<a href="https://agentmods.dev/skills/agentsope/skillalchemy/agentsop-llm-tool-idempotency"><img src="https://agentmods.dev/badge/skills/agentsope/skillalchemy/agentsop-llm-tool-idempotency.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00160 | $0.08678 |
| Opus 5 | $0.00080 | $0.04339 |
| Sonnet 5 | $0.00032 | $0.01736 |
| Haiku 4.5 | $0.00016 | $0.00868 |
Grade A, and why
agentsop-llm-tool-idempotency 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 — 667 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LLM Tool Idempotency · SOP
One-liner: The LM is at-least-once; the tool must be at-most-once. Every framework that promises "durable execution" still re-runs node bodies on resume. Every HTTP client retries on timeout. Every model occasionally emits the same tool_call twice. Idempotency belongs in the tool, not in a wish.
1. 何时激活 (Activation Rules)
Activate this skill when any of the following triggers fire:
- You're defining a tool whose name contains
send_,create_,charge_,post_,write_,publish_,transfer_,delete_,update_, ornotify_. - The tool wraps a third-party API call (Stripe, SendGrid, Twilio, Slack, Discord webhook, S3 PUT, payment gateway, internal write API).
- You're inside a LangGraph node that contains an
interrupt(...)call AND a side effect in the same function body — the resume re-runs the body from the top[langgraph/gotchas]. - The tool is invoked through MCP, OpenAI tool-calling, Anthropic tool use, CrewAI delegation, or any layer where a transport timeout could be interpreted as "retry" even though the operation succeeded server-side.
- The user reports "the agent sent it twice" / "charge appeared twice" / "duplicate row" / "got two emails".
- Your test harness records the same
(tool_name, args_hash)invoked more than once within a single user turn.
Do not activate when the tool is read-only (GET-equivalent), or when the side effect is genuinely commutative AND verified safe under duplication.
2. 核心心智模型 (Core Mental Model)
2.1 The fundamental asymmetry
LM tool-call semantics Tool side-effect semantics
───────────────────── ─────────────────────────
At-least-once delivery Must be at-most-once
(network retry, framework (one charge, one email,
resume, model dup-emit, one record)
user re-prompt)
│ │
└────── gap to bridge ───────────┘
↓
IDEMPOTENCY KEY
(a stable identifier the LM
commits to BEFORE the call,
which the tool dedupes on)
What ships with it
4 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.
- 8d ago First seen · 667 lines · 160 tokens per session scan A f5de047ac2f2
agentsop-llm-tool-idempotency is a skill published in the GitHub repository agentsope/SkillAlchemy (370 stars, last pushed 5d ago), licensed MIT. It adds 160 tokens to every session and 8,678 once invoked, about $0.0008 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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