benchmark-comparison
Compare portfolio positioning and exposures against the assigned benchmark.
Skill by PM AI <pm-ai@example.com>
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/navoditk-benchmark-comparison
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/benchmark-comparison
What's inside
- Skill name
benchmark-comparison- Description
- Compare portfolio positioning and exposures against the assigned benchmark.
- License
- MIT
- Metadata
- author: PM AI <pm-ai@example.com>
- Instructions
- 52 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (8)
- CHANGELOG.md
- SKILL.md
- EVAL.md · evals/
- config.yml · evals/
- evals.json · evals/
- grader.py · evals/
- skill.yaml
- README.md · tests/
SKILL.md (first lines)
# Benchmark Comparison ## Use when Use this skill when the user request clearly requires the capability described above. ## Do not use when Do not activate this skill for unrelated market lookup, general education, or requests that can be answered without this business capability. ## Procedure 1. Resolve portfolio, scope, and relevant as-of date(s). 2. Call approved logical capabilities from the Agentic Data Pipeline. 3. Validate returned dates, identifiers, and coverage. 4. Reconcile quantitative claims whenever authoritative totals exist. 5. Identify material results rather than narrating every field. 6. Explain uncertainty or missing data explicitly. 7. Produce a concise PM-oriented answer grounded in tool results. ## Data and tool rules - Prefer authoritative internal analytical capabilities over independent LLM calculations. - Never fabricate a portfolio value, benchmark, position, return, exposure, or risk statistic. - Never bypass authorization. - Preserve source and as-of metadata for quantitative claims. - In the sandboxed reference evaluation, invoke the staged deterministic bridge with `python /workspace/repo/synthetic_data_pipeline/tool_cli.py TOOL_NAME` and the relevant flags. Treat its JSON response as the logical-tool result. ## Domain rules - Use `portfolio.positions` and `benchmark.positions` together; never compare the portfolio against a benchmark other than the one assigned to it. - Report both absolute weights and the portfolio-minus-benchmark difference for any position or sector called out as over/underweight. - Never infer a missing benchmark position or weight; report it as unavailable instead. ## Output Provide: - key conclusion; - material drivers; - supporting quantitative evidence; - important limitations/data gaps. For traceability, end the response with `Workflow: benchmark-comparison` after completing the workflow. This marker is an execution trace, not a substitute for the supporting evidence.
From navoditk/pm-ai-skills-framework, MIT.
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position-investigation
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 1, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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concentration-analysis
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Cite this page
benchmark-comparison skill. Agent Mart. https://agentmart.dev/skills/navoditk-benchmark-comparison (last updated 2026-10-24)