research-action

research-action is a skill for Claude Code from APIPASS-Integrations/apipass-headless. It costs 41 tokens per session (750 once invoked), scanned A, original, Apache-2.0.

A research procedure for finding an APIPASS action, its exact type, required login reference, and input fields before adding it to an integration flow. An action is one operation performed by a flow.

In plain words
What is it for?
Use it to look up actions, resolve their authorizations, inspect interpolation fields, and prepare a correctly shaped flow step.
Why use it?
It reduces errors caused by guessing action names, field values, or authentication details. Credentials remain referenced by identifier instead of being placed directly in the flow.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions subagents.

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

Good fit Use it to look up actions, resolve their authorizations, inspect interpolation fields, and prepare a correctly shaped flow step.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/apipass-integrations/apipass-headless/research-action"><img src="https://agentmods.dev/badge/skills/apipass-integrations/apipass-headless/research-action.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 750 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 $0.00041 $0.00750
Opus 5 $0.00020 $0.00375
Sonnet 5 $0.00008 $0.00150
Haiku 4.5 $0.00004 $0.00075

Measured 9d ago against content hash 07cf96eb61dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

research-action 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 9d 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/research-action/SKILL.md · 40 lines

How it starts

The opening of the file, as written. The whole thing — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pesquisar Acao: $ARGUMENTS

Para builds reais, prefira delegar ao subagent apipass-researcher (ele absorve o schema verboso e devolve um passo pronto). Use este processo direto para buscas triviais.

Pare e pergunte se

  • O get_action_struct nao revelar os campos/valores.
  • Houver campos ambiguos (status, tipo, prioridade) sem valores claros.
  • A autenticacao da acao for incerta.

Passo 1: Localizar a acao

  • list_action_groups para ver as categorias.
  • list_actions (catalogo completo — vem compactado) ou get_action(groupId, id) para uma acao especifica.
  • Registre o type EXATO da acao (e o que vai no campo type do FlowStep) e se ela exige autenticacao (authProvider/authId).

Passo 1b: Resolver a autorizacao (se a acao autentica)

  • Nunca embuta credenciais no step — referencie uma autorizacao por authId + authProvider.
  • list_authorizations(provider) acha credenciais do provider/grupo da acao; id => authId, provider => authProvider. Filtre por projectId quando aplicavel.
  • get_authorization(id) detalha; get_authorization_interpolation_fields(id) lista campos interpolaveis (use via {{...}} em headers/params, sem expor o segredo).
  • 0 ou varias candidatas = ambiguidade: registre nas incognitas para o usuario decidir/cadastrar.

Passo 2: Descobrir o shape da config

  • Prefira ler um fluxo real que ja usa essa acao: get_flow_development(flowId) e copie o shape exato — isso revela tambem o NIVEL onde cada campo mora (topo do step vs dentro de mappingAttributes), que o struct nao garante. Sempre que possivel, peca/use um flowId de exemplo.
  • get_action_struct(id) lista QUAIS campos a acao tem (util como referencia), mas: pode 404 em acoes fixed/embutidas (ex. .trigger.rest.RestTrigger) e nao diz em que nivel os campos aparecem no step salvo.
  • Atencao: em muitas acoes (ex. .service.http.HttpRequest) a config fica no nivel superior do step (url, method, rawData, ...) com mappingAttributes: {}. O corpo HTTP vai em rawData.
  • Interpolacao entre passos: mustache {{$.<id>}} (ex. {{$.trigger.body}}), nunca ${...}.
  • Para passos HTTP, curl_to_http(command) converte um cURL em request pronto.

Read the full file on GitHub · 40 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. 9d ago First seen · 40 lines · 41 tokens per session scan A 07cf96eb61dd

Subscribe to this mod's changes

research-action is a skill published in the GitHub repository APIPASS-Integrations/apipass-headless (2 stars, last pushed 29d ago), licensed Apache-2.0. It adds 41 tokens to every session and 750 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 2026-08-31.

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