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antigravity-agents: Skill for Claude Code

.agents/skills/deep-research/SKILL.md

deep-research is a skill for Claude Code, Codex from rafaelghif/antigravity-agents. It costs 27 tokens per session (926 once invoked), scanned A, original, MIT.

A web-research skill that checks unfamiliar libraries, APIs, migrations, and errors against external documentation. It searches for authoritative sources, reads the relevant pages, and compares the findings with the local code.

In plain words
What is it for?
Use it to verify programming-library documentation, external APIs, migration instructions, and complex error reports before changing code.
Why use it?
It reduces guesses about function signatures, supported versions, imports, and deprecated behavior. This helps prevent coding against inaccurate or invented details.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is rafaelghif/antigravity-agents's own configuration. It tells Claude Code and Codex how to work on antigravity-agents itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything antigravity-agents configures →

not rated 5repo changed 1mo ago A scan 27 tokens original MIT
View source ↗ rafaelghif/antigravity-agents
Reuse

Borrowing it

Nothing to install: this file belongs to rafaelghif/antigravity-agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/rafaelghif/antigravity-agents/main/.agents/skills/deep-research/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/rafaelghif/antigravity-agents

Made for: Claude Code, Codex.

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 deep-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/rafaelghif/antigravity-agents/deep-research/github.svg)](https://agentmods.dev/skills/rafaelghif/antigravity-agents/deep-research)
Your own site
<a href="https://agentmods.dev/skills/rafaelghif/antigravity-agents/deep-research"><img src="https://agentmods.dev/badge/skills/rafaelghif/antigravity-agents/deep-research/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 deep-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/rafaelghif/antigravity-agents/deep-research"><img src="https://agentmods.dev/badge/skills/rafaelghif/antigravity-agents/deep-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 926 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 $0.00027 $0.00926
Opus 5.5 $0.00011 $0.00370
Sonnet 5.5 $0.00005 $0.00185
Haiku 4.5 $0.00003 $0.00093

Measured 1mo ago against content hash bcdffbbbcc2e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deep-research 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.

.agents/skills/deep-research/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deep Research & External Grounding Protocol

Role: Principal Technical Researcher & Epistemic Grounding Specialist.

Overview & Trigger Conditions

Activate this skill when encountering unfamiliar libraries, framework migrations, external APIs, deprecation notices, or complex system errors. Agents MUST NEVER guess, hallucinate, or assume method signatures, configuration keys, or interface types.

Trigger Scenarios & Keywords:

  • External API lookups, framework documentation, SDK migration guides, RFC references.
  • Keywords: research, search web, browse, documentation, docs, lookup, rfc, investigate, latest version, official guide, api reference.

Core Standards & Invariants

  1. Anti-Hallucination Baseline:

    • Zero invention: never guess non-existent function arguments, CLI flags, package exports, or configuration properties.
    • If an API or feature cannot be confirmed via official documentation or local code inspection, explicitly label it UNKNOWN / UNVERIFIED.

  2. Official Source Hierarchy:

    • Tier 1 (Authoritative): Official language and package documentation (docs.python.org, pkg.go.dev, developer.mozilla.org, crates.io, docs.rs).
    • Tier 2 (Vendor & Standards): Official vendor documentation, RFC specifications, GitHub release notes, and library migration guides.
    • Tier 3 (Secondary): Community forums and blog posts (must always be verified against Tier 1/2 official documentation).

  3. Reconciliation with Local Codebase (scripts/grounding.py):

    • Always cross-reference external documentation with the actual installed versions in the repository (package.json, pyproject.toml, Cargo.toml, go.mod).
    • Never adopt newer syntax or APIs that are incompatible with the repository's pinned dependencies or runtime versions.

The 3-Step External Grounding Loop

  1. Targeted Web Search (search_web):
    • Formulate precise, high-density queries including language, library version, and exact error/method name:
      • Good: "pydantic v2 model_validate JSON schema migration guide"
      • Bad: "how to fix python error"

Read the full file on GitHub · 72 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 bcdffbbbcc2e
  2. 2mo ago Changed c6f1180c1032
  3. 2mo ago Changed · +33 lines · +5 tokens per session 938bf05520ee
  4. 2mo ago First seen · 39 lines · 22 tokens per session scan A 7ed84e33c73d

Subscribe to this mod's changes

deep-research is a skill published in the GitHub repository rafaelghif/antigravity-agents (5 stars, last pushed 1mo ago), licensed MIT. It adds 27 tokens to every session and 926 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 2026-09-05.

CI and CDResearchagentic-workflowai-agentsantigravitymcpmulti-agent-systems
Related

deep-research compared with skills from other repositories

deep-research next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
deep-researchrafaelghif/antigravity-agentsSkill51mo agoMITA27Claude Code, Codex
cicdpageel/para-workspaceSkill532mo agononeA34Claude Code, Codex
deployment-patternsmasrisystems/dot-agentsSkill04d agononeA41Claude Code, Kiro
agent-workflow-automationruvnet/rufloSkill81kyesterdayMITA21Claude Code
Verification & Quality Assuranceruvnet/rufloSkill81kyesterdayMITA36Claude Code
ci-cd-and-automationaddyosmani/agent-skillsSkill114k5d agoMITA45Claude Code
agent-github-modesruvnet/rufloSkill81kyesterdayMITA21Claude Code