Infinite Gratitude
Splits a topic into five research angles: repos, models, papers, rivals, guides
Test report
- Verdict
- Tested · Works
- Score
- Tested
- Aug 5, 2026
- Environment
- Claude Code 2.x (agent harness)
⚠ This skill is no longer available upstream. Our re-check on Aug 10, 2026 couldn't find it any more (repo unreachable/deleted). The test below is what we measured on Aug 5, 2026 and we're leaving it up as a record — but there is nothing left to install, so we've removed the command.
Ran the same question — which open-source OCR stack to use for scanned PDFs in 2026 — with and without the skill: the no-skill pass surfaced seven named tools and a single benchmark number, while the skill's fixed five-direction split surfaced about twenty, including HuggingFace model ids, four papers with arXiv numbers, the olmOCR-bench composition (1,403 PDFs / 7,010 unit tests) and a per-page price table for the commercial APIs that the baseline never went looking for. The gain comes entirely from the direction taxonomy, which forces the model into the HuggingFace, papers and competitor lanes it would otherwise skip. Two real defects: the README's one-line install fetches infinite-gratitude.skill.md, which returns 404 because no such file is in the repo, and the dispatch snippet hard-codes subagent_type="research-scout", an agent this repo does not ship, so the literal call fails on a stock install and Claude has to substitute. The README's headline numbers (10 agents, 30 minutes vs 20+ hours, a per-depth dollar table) are presented as measured fact with nothing behind them.
Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works
- Installs cleanly 5/5
- Triggers reliably 5/5
- Output vs. baseline 7/10
- Docs & honesty 2/5
What Infinite Gratitude does
Turns a research request into five fixed directions — GitHub projects, HuggingFace models, papers, competitors, best practices — dispatched as parallel background subagents and compiled into one structured report, with optional follow-up waves. Triggers on requests to research a topic in depth, compare tools from several angles, or run a multi-agent literature or market scan. Depth and agent count are set with --depth and --agents.
How to install Infinite Gratitude
Nothing to install: the source repository no longer has this skill. If the author brings it back, our daily re-check will pick it up and the command will reappear here.
Commands — how to trigger Infinite Gratitude
-
/infinite-gratitudeSplits a topic into five research angles: repos, models, papers, rivals, guides
It also activates on plain-language prompts like these:
-
Research vector databases from several angles in parallel -
Run a multi-agent literature review on ArcFace vs triplet loss -
Dispatch agents to compare RAG frameworks and report findings
Frequently asked questions
- Is the Infinite Gratitude skill free?
- Yes. The skill itself is free from sstklen/infinite-gratitude. SkillProof publishes the install command and an independent test verdict at no cost.
- Does Infinite Gratitude work with Claude Code?
- We tested it with Claude Code 2.x (agent harness) on Aug 5, 2026. Verdict: Tested · Works. Ran the same question — which open-source OCR stack to use for scanned PDFs in 2026 — with and without the skill: the no-skill pass surfaced seven named tools and a single benchmark number, while the skill's fixed five-direction split surfaced about twenty, including HuggingFace model ids, four papers with arXiv numbers, the olmOCR-bench composition (1,403 PDFs / 7,010 unit tests) and a per-page price table for the commercial APIs that the baseline never went looking for. The gain comes entirely from the direction taxonomy, which forces the model into the HuggingFace, papers and competitor lanes it would otherwise skip. Two real defects: the README's one-line install fetches infinite-gratitude.skill.md, which returns 404 because no such file is in the repo, and the dispatch snippet hard-codes subagent_type="research-scout", an agent this repo does not ship, so the literal call fails on a stock install and Claude has to substitute. The README's headline numbers (10 agents, 30 minutes vs 20+ hours, a per-depth dollar table) are presented as measured fact with nothing behind them.
- What is the Infinite Gratitude SkillProof Score?
- 7.6/10 — installs cleanly 5/5, triggers reliably 5/5, output vs. baseline 7/10, docs & honesty 2/5.
- How do I install Infinite Gratitude?
- Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
- Can I use Infinite Gratitude with Cursor, Copilot, Gemini CLI, Codex or other AI tools?
- The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.