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.
npx skills add davistroy/claude-marketplace --skill sg-researchgit clone --depth 1 https://github.com/davistroy/claude-marketplaceWrote 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.
[](https://agentmods.dev/skills/davistroy/claude-marketplace/sg-research)<a href="https://agentmods.dev/skills/davistroy/claude-marketplace/sg-research"><img src="https://agentmods.dev/badge/skills/davistroy/claude-marketplace/sg-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.
<a href="https://agentmods.dev/skills/davistroy/claude-marketplace/sg-research"><img src="https://agentmods.dev/badge/skills/davistroy/claude-marketplace/sg-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00046 | $0.00657 |
| Opus 5.5 | $0.00018 | $0.00263 |
| Sonnet 5.5 | $0.00009 | $0.00131 |
| Haiku 4.5 | $0.00005 | $0.00066 |
Grade A, and why
sg-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.
How it starts
The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Slide Generator: Research Step
Run the research phase of the slide-generator pipeline. This step uses the Claude Agent SDK to conduct autonomous web research, producing a structured research.json artifact that feeds the outline step.
Pre-loaded Context
Working directory:
!pwd
Slide-generator installation check:
!sg --version 2>&1 || echo "NOT INSTALLED"
API key status:
!sg health-check 2>&1 | head -10
Prerequisites
- Preflight:
sg --versionmust succeed before proceeding — ifsgis missing, stop and tell the user this requires the privatedavistroy/slide-generatorengine (owner-only; see ADR-0008) slide-generatorpackage installed (pip install -e ".[all]"from the slide-generator repo)ANTHROPIC_API_KEYset in environment- Working directory where output should be saved
Input Validation
Required:
<topic>- The research topic (quoted string)
Optional:
--output <path>- Output file path (default:research.jsonin current directory)--max-sources <N>- Maximum number of sources to research (default: 20)
Instructions
- Validate environment: Confirm
sgCLI is available and API keys are set viasg health-check - Run research:
sg research "<topic>" --output research.json - Verify output: Confirm
research.jsonwas created and contains valid JSON with research findings - Report results: Show a brief summary of what was found (number of sources, key themes)
Error Handling
| Error | Cause | Fix |
|---|---|---|
ANTHROPIC_API_KEY not found |
Missing env var | Set the key: export ANTHROPIC_API_KEY=... |
Rate limit exceeded |
Too many API calls | Wait 60s and retry, or reduce --max-sources |
Research timeout |
Topic too broad | Narrow the topic or increase SG_API_TIMEOUT |
sg: command not found |
Not installed | Run pip install -e ".[all]" from slide-generator repo |
Output
The research step produces research.json containing:
- Structured findings organized by subtopic
- Source URLs and citations
- Key facts and statistics
- Recommended presentation angles
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.
- 1mo ago First seen · 74 lines · 46 tokens per session scan A a853c41bfafa
sg-research is a skill published in the GitHub repository davistroy/claude-marketplace (5 stars, last pushed 19d ago), licensed MIT. It adds 46 tokens to every session and 657 once invoked, about $0.0002 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 2026-09-04.
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