Agent skill · Security

paper-opportunity-radar

Run a cumulative daily or retrospective sweep of research papers on a chosen topic, audit their claims, methods, integrity signals, and independent support, then identify overlooked but feasible project or business opportunities in a detailed source-grounded report. Use when asked to monitor papers every day, mine buried research, evaluate whether a paper is credible or reproducible, find unimplemented research ideas, or separate promising work from hype, weak evidence, and retracted or contradicted results.

tamdogoodgithub.com/tamdogoodGitHub ↗
claude-codecodexMIT
Install
npx skills add tamdogood/builder-essential-skills --skill paper-opportunity-radar --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 12 KB
Bundled scripts: none
Path: skills/paper-opportunity-radar/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 90
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Paper Opportunity Radar Treat the literature as an evidence base to traverse over time, not a feed to summarize. Build a cumulative corpus, audit important papers at claim level, look for what happened after publication, and turn only defensible gaps into testable opportunities. This skill runs when invoked. It does not silently create a background scheduler. If the user wants a daily cadence, preserve resumable state and give their scheduler the recurring prompt in [Daily Operation](#daily-operation). Never say monitoring is active until a recurring job actually exists. ## Non-negotiable Standards - **Never claim exhaustive coverage without a bounded corpus.** Define the databases, query strings, dates, languages, document types, and traversal cursor. Say "all records returned by this protocol," not "all papers ever." - **Fact-check at claim level.** Every factual statement in a report needs a fetched source. Mark interpretations as `INFERENCE` and gaps as `UNKNOWN`. - **A paper verifies what its authors reported, not that the result is true.** Independent replication, convergent evidence, or real-world validation is a separate evidence layer. - **Do not infer fraud.** Use `INTE

What's inside
Steps it walks through
  1. Non-negotiable Standards
  2. Inputs and Defaults
  3. Durable Workspace
  4. Workflow
  5. 1. Frame a Falsifiable Search
  6. 2. Resume Before Searching
  7. 3. Traverse Three Lanes
  8. 4. Select Papers for Deep Audit
  9. 5. Audit the Paper, Not Its Story
  10. 6. Assign an Evidence Verdict
  11. 7. Harvest and Challenge Opportunities
  12. 8. Write the Daily Report
  13. 9. Hand Off the Next Run
  14. Failure Handling
Ships with 5 files
  • README.md
  • agents/openai.yaml
  • references/discovery-protocol.md
  • references/evidence-audit.md
  • references/opportunity-and-report.md
More from builder-essential-skills
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About this skill
What does the paper-opportunity-radar skill do?

Run a cumulative daily or retrospective sweep of research papers on a chosen topic, audit their claims, methods, integrity signals, and independent support, then identify overlooked but feasible project or business opportunities in a detailed source-grounded report. Use when asked to monitor papers every day, mine buried research, evaluate whether a paper is credible or reproducible, find unimplemented research ideas, or separate promising work from hype, weak evidence, and retracted or contradicted results.

How do I install it?

Run `npx skills add tamdogood/builder-essential-skills --skill paper-opportunity-radar --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From tamdogood/builder-essential-skills, a repository with 90 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going