agentmods.dev

search-docs

search-docs is a skill for Claude Code from facebook/agentic-tools. It costs 36 tokens per session (620 once invoked), scanned A, original, MIT.

A documentation-search tool for Meta's developer platform, which provides APIs and guides for services such as Facebook, Instagram, and WhatsApp.

In plain words
What is it for?
Use it to search Meta API references, integration guides, tutorials, permissions information, and feature details.
Why use it?
It helps find the official instructions needed to understand, integrate, or troubleshoot Meta APIs.

Skill for Claude Code ✓ vendor

Written for Claude Code: allowed-tools in frontmatter.

Part of the devtools plugin — 9 skills shipped together

not rated 15repo +7 changed 1mo ago A scan 36 tokens original MIT

Good fit Use it to search Meta API references, integration guides, tutorials, permissions information, and feature details.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/facebook/agentic-tools/search-docs
View source ↗ facebook/agentic-tools
About the project

Agentic Tools is a marketplace of plugins and skills for managing Meta Social Technologies applications, including settings, webhooks, compliance, app review, and API health. Developers use it with coding agents such as Claude Code, Cursor, and Codex through Meta's remote MCP server. The catalogue contains the project's agent add-ons.

facebook/agentic-tools · 15 stars · on GitHub

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 facebook/agentic-tools --skill search-docs
Clone the repo
git clone --depth 1 https://github.com/facebook/agentic-tools

Made for: Claude Code.

Or install devtools, the plugin that ships this one along with the rest of its 9 skills.

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 search-docs

README.md
[![agentmods](https://agentmods.dev/badge/skills/facebook/agentic-tools/search-docs/github.svg)](https://agentmods.dev/skills/facebook/agentic-tools/search-docs)
Your own site
<a href="https://agentmods.dev/skills/facebook/agentic-tools/search-docs"><img src="https://agentmods.dev/badge/skills/facebook/agentic-tools/search-docs/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 search-docs

Your own site · 80×15
<a href="https://agentmods.dev/skills/facebook/agentic-tools/search-docs"><img src="https://agentmods.dev/badge/skills/facebook/agentic-tools/search-docs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 620 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 $0.00036 $0.00620
Opus 5.5 $0.00014 $0.00248
Sonnet 5.5 $0.00007 $0.00124
Haiku 4.5 $0.00004 $0.00062

Measured 1mo ago against content hash f6315f35480a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

search-docs 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 1mo 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/devtools/skills/search-docs/SKILL.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Search Docs

Search the Meta Social Technologies Developer Platform documentation to answer API questions, find integration guides, and explore platform capabilities.

Workflow

  1. Start tracking. Before any other work, call devtools_skill_invocation with action start and skill_name search-docs. Pass skill_name search-docs on every devtools_* tool call in the following steps.

  2. Understand the query. Determine what the user is looking for:

    • API reference (e.g., "how does the Page API work?")
    • Integration guide (e.g., "how to set up Instagram webhooks?")
    • Troubleshooting (e.g., "why am I getting error code 190?")
    • Feature discovery (e.g., "what can I do with the WhatsApp Business API?")

  3. Search. Call devtools_discovery with action search_docs:

    • Formulate a clear, specific query
    • Start with max_results of 5
    • If results are too broad, refine the query and search again

  4. Present results. For each result:

    • Title and brief description
    • Direct relevance to the user's question
    • Key takeaways or next steps

  5. Refine if needed. If initial results don't answer the question:

    • Try alternative search terms (e.g., "Graph API permissions" instead of "Facebook API access")
    • Use pagination via offset to explore more results
    • Broaden or narrow the query based on what was returned

  6. Synthesize. Don't just list links — extract the answer:

    • Summarize the relevant documentation
    • Highlight key requirements, limitations, or gotchas
    • Provide code patterns or configuration steps if applicable

  7. End tracking. After completing all preceding steps, call devtools_skill_invocation with action end and skill_name search-docs.

Search Tips

  • Use product-specific terms: "WhatsApp Business API" not "WhatsApp API"
  • Include the specific operation: "create ad campaign" not "ads"
  • For error codes, search the exact code: "error 190" or "OAuthException"
  • For permissions, include the permission name: "pages_read_engagement permission"

Read the full file on GitHub · 56 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. 1mo ago Changed f6315f35480a
  2. 1mo ago First seen · 56 lines · 36 tokens per session scan A 95d252037467

Subscribe to this mod's changes

search-docs is a skill published in the GitHub repository facebook/agentic-tools (15 stars, last pushed 6d ago), licensed MIT. It adds 36 tokens to every session and 620 once invoked, about $0.0001 per session on Opus 5.5. 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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