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Research Synthesis Brief

skill-clarentcinematics-codex-skills-for-enterprise-research-synthesis-brief · by ClarentCinematics

Synthesize multiple sources, reports, notes, articles, datasets, interviews, or research excerpts into claims, evidence, caveats, contradictions, confidence levels, and recommended actions. Use when Codex needs to create source-grounded research briefs, executive summaries, evidence reviews, or decision support.

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Install

$ agentstack add skill-clarentcinematics-codex-skills-for-enterprise-research-synthesis-brief

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Research Synthesis Brief

Workflow

  1. Identify research question, audience, decision context, source set, and time sensitivity.
  2. Extract claims, evidence, methods, dates, limitations, contradictions, and source quality signals.
  3. Separate what is known, what is inferred, what conflicts, and what remains unknown.
  4. Synthesize findings into decision-relevant implications rather than source-by-source summaries.
  5. Produce a brief with confidence levels, caveats, and recommended next actions.

Output Standard

Use this structure by default:

  • Research Question: what the brief answers.
  • Bottom Line: concise answer with confidence level.
  • Key Findings: claims with evidence and caveats.
  • Evidence Table: source, claim supported, strength, limitation.
  • Contradictions / Gaps: conflicts, missing data, and uncertainty.
  • Decision Implications: what the findings mean for action.
  • Recommended Next Steps: follow-up research, validation, or decision path.

Rules

  • Do not cite or rely on sources not provided unless the user asks for external research.
  • Label confidence and uncertainty explicitly.
  • Do not flatten conflicting evidence into a false consensus.
  • Keep source-grounding clear enough for a human reviewer to audit.

References

Read references/evidence-rubric.md when the user asks for evidence grading, confidence scoring, contradiction handling, or decision implications.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.