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chronograph-gp-meeting-prep

Prepare an LP to meet with their fund manager (GP): review the fund's latest reporting, surface what changed since last period, and draft the questions worth raising. Use when someone is getting ready for a manager call, quarterly check-in, annual meeting, LPAC meeting, or a re-up decision — for example "I have my quarterly call with this manager next week, help me prep," "what changed in this fund this quarter," "what should I ask them about these marks," or "what are the red flags in this reporting package." Draws on Chronograph fund and portfolio data when connected — captured reporting such as fund performance, schedules of investments, and portfolio company KPI profiles — and asks the LP to provide anything else it needs, such as a capital account statement, investor letter, or AGM or board deck.

75

Quality

92%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

85%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is well-structured, actionable, and uses clean one-level progressive disclosure with verified reference files. Its only weakness is mild verbosity from restating the gross/net headline-return framing in multiple sections.

Suggestions

State the gross/net headline-return labeling rule once (e.g., in Review Priorities) and reference it from the Workflow and Overview instead of restating it in each section.

Tighten the Review Priorities prose into tighter bullet fragments to reduce token overhead while keeping the field lists.

Consider folding the Fallback Behavior's 'ask the LP for the reporting package' guidance into the Workflow's Chronograph-unavailable branch to avoid near-duplicate instructions.

DimensionReasoningScore

Conciseness

The body is dense and assumes domain competence, but the gross/net framing and headline-return guidance are restated across Overview, step 3, and Review Priorities, so it could be tightened to earn a 3.

2 / 3

Actionability

As an instruction-only skill it gives highly specific guidance — named metrics (TVPI/DPI/RVPI, net IRR), explicit labeling rules, and a concrete output shape with 'three to eight prioritized questions' — rather than vague direction.

3 / 3

Workflow Clarity

The eight-step workflow is clearly sequenced with explicit checkpoints: cite sources, separate facts from interpretation, label inferred items as analyst prompts, and list missing inputs on partial data.

3 / 3

Progressive Disclosure

SKILL.md stays an overview and signals three real one-level-deep references (checklist, template, question-bank), with detailed material appropriately split into those files and no nested reference chains.

3 / 3

Total

11

/

12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is exemplary: it states concrete capabilities, gives rich natural-language triggers with example user utterances, and carves out a distinct, low-conflict niche. It fully satisfies the what/when requirement in third person.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'review the fund's latest reporting, surface what changed since last period, and draft the questions worth raising' — within a clearly named domain, matching the highest anchor.

3 / 3

Completeness

Explicitly answers both 'what' (review reporting, surface changes, draft questions) and 'when' ('Use when someone is getting ready for a manager call...') with explicit triggers and examples.

3 / 3

Trigger Term Quality

Strong coverage of natural user phrasing including 'manager call, quarterly check-in, annual meeting, LPAC meeting, re-up decision' plus verbatim utterances like 'I have my quarterly call with this manager next week, help me prep.'

3 / 3

Distinctiveness Conflict Risk

The LP-GP meeting prep niche with LPAC/re-up triggers and Chronograph anchoring is distinct and unlikely to fire for unrelated skills.

3 / 3

Total

12

/

12

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
openai/plugins
Reviewed

Table of Contents

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