Skip to content
Agentmart
Submit a tool

benchmark-comparison

Compare portfolio positioning and exposures against the assigned benchmark.

Skill by PM AI <pm-ai@example.com>

IndexedMIT
Write a review

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.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Compare portfolio positioning and exposures against the assigned benchmark.

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

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.

More from navoditk/pm-ai-skills-framework

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

More from PM AI <pm-ai@example.com>

Cite this page

benchmark-comparison skill. Agent Mart. https://agentmart.dev/skills/navoditk-benchmark-comparison (last updated 2026-10-24)