apipass-usage

apipass-usage is a skill for Claude Code from APIPASS-Integrations/apipass-headless. It costs 86 tokens per session (899 once invoked), scanned A, original, Apache-2.0.

A guide for analysing APIPASS account usage, including executions, requests, time periods, totals, averages, and flow-engine use. APIPASS is a service where automated flows run and consume execution capacity.

In plain words
What is it for?
Use it to report usage by day, hour, month, or flow; calculate account totals and averages; and inspect specific runs when debugging is needed.
Why use it?
It selects aggregated summaries for counting usage, avoiding the slower and less suitable process of inspecting individual execution logs.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Part of the apipass-integrations plugin — 13 skills, 2 agents, 1 hook, 1 MCP server shipped together

Good fit Use it to report usage by day, hour, month, or flow; calculate account totals and averages; and inspect specific runs when debugging is needed.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/apipass-integrations/apipass-headless/apipass-usage
Install

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.

Any agent
npx skills add APIPASS-Integrations/apipass-headless --skill apipass-usage
Clone the repo
git clone --depth 1 https://github.com/APIPASS-Integrations/apipass-headless

Made for: Claude Code.

Or install apipass-integrations, the plugin that ships this one along with the rest of its 13 skills, 2 agents, 1 hook, 1 MCP server.

Wrote 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.

agentmods badge for apipass-usage

README.md
[![agentmods](https://agentmods.dev/badge/skills/apipass-integrations/apipass-headless/apipass-usage/github.svg)](https://agentmods.dev/skills/apipass-integrations/apipass-headless/apipass-usage)
Your own site
<a href="https://agentmods.dev/skills/apipass-integrations/apipass-headless/apipass-usage"><img src="https://agentmods.dev/badge/skills/apipass-integrations/apipass-headless/apipass-usage/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.

agentmods 80×15 button for apipass-usage

Your own site · 80×15
<a href="https://agentmods.dev/skills/apipass-integrations/apipass-headless/apipass-usage"><img src="https://agentmods.dev/badge/skills/apipass-integrations/apipass-headless/apipass-usage.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 899 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00086 $0.00899
Opus 5 $0.00043 $0.00449
Sonnet 5 $0.00017 $0.00180
Haiku 4.5 $0.00009 $0.00090

Measured 8d ago against content hash 2fa8a14cd5f8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

apipass-usage 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.

plugins/apipass-integrations/skills/apipass-usage/SKILL.md · 47 lines

How it starts

The opening of the file, as written. The whole thing — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Consumo e uso na APIPASS

Regra de roteamento (importante)

Perguntas de contagem/listagem agregada (quantos fluxos, quais fluxos, quantas execucoes) usam os SUMARIOS, NUNCA execution-logs:

Pergunta Ferramenta
"quantos fluxos executaram no periodo" / "quais fluxos rodaram" get_execution_summary(period: "flow", startDate, endDate, timezone) — retorna um item por fluxo com a contagem
"quantas execucoes por dia/hora/mes" get_execution_summary(period: "daily"|"hourly"|"monthly", ...)
"quantas execucoes no total" / "uso da conta" / "uso do flow engine" get_usage_summary(metric: "total"|"average"|"flow-engine-usage")

Os execution-logs (list_flow_execution_logs, get_flow_execution_log, etc.) sao para inspecionar/depurar execucoes especificas — NAO para contar ou listar quais fluxos rodaram. Listar logs e paginado e pesado; para volume/quais-fluxos, o sumario ja vem agregado.

Duas ferramentas cobrem consumo, com formatos diferentes — escolha pela pergunta:

1. Serie temporal: get_execution_summary

Consumo ao longo do tempo (para tendencias/graficos). Obrigatorios: period, startDate, endDate, timezone.

  • period: daily | hourly | monthly | flow (agrupa por fluxo no periodo).
  • Filtros opcionais: projectId, flowId, environmentId.
  • Ordenacao opcional: order, sortBy.

Use para: "consumo por dia do ultimo mes", "execucoes por hora ontem", "consumo mensal do ano", "consumo por fluxo no projeto X".

2. Agregado da conta: get_usage_summary

Numeros consolidados da conta (para "quanto consumi" / cobranca / quota). Todos os params sao opcionais — sem startDate/endDate retorna o consumo corrente/total.

  • metric: total (total de requisicoes/execucoes) | average (media) | flow-engine-usage (uso do flow-engine — relevante para cobranca/limites).
  • Opcionais: startDate, endDate, accountId, timezone.

Use para: "quanto consumi este mes", "uso total da conta", "uso do flow engine", "media de execucoes".

Read the full file on GitHub · 47 lines

Changes

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.

  1. 8d ago First seen · 47 lines · 86 tokens per session scan A 2fa8a14cd5f8

Subscribe to this mod's changes

apipass-usage is a skill published in the GitHub repository APIPASS-Integrations/apipass-headless (2 stars, last pushed 29d ago), licensed Apache-2.0. It adds 86 tokens to every session and 899 once invoked, about $0.0004 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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