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thesis-tracker

Buy-side discipline system. For each holding, maintain a written investment thesis — core thesis in 5 sentences, falsifiable assumptions, red lines, valuation anchors — and re-check it each quarter against new earnings/events. Scores thesis health 1-10 from assumption breakage and red-line triggers, and recommends hold / add / trim / exit. Use it right after buying a stock (to write the thesis) and every earnings season (to check it). Bridges the research→buy→monitor gap that most investors skip.

72

Quality

91%

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

88%Weight 40%Scale 1-5

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

The body is a tightly structured two-mode workflow with concrete, executable guidance throughout — exact paths, tool invocations, templates, a scoring formula, and score-to-action thresholds. Its weaknesses are minor: some motivational padding (quotes, philosophy rationale) and a monolithic single-file layout where a small reference file could hold the long red-line/philosophy detail.

Suggestions

Trim the Li Lu, Keynes, and Duan Yongping quotes and compress the Design Philosophy section into one or two lines — the failure modes it lists are inferable and the quotes consume context without adding instruction.

Move the extended macro-trend red line (#6) and its explanatory rationale block into a short reference file (e.g. references/red-lines.md) to keep SKILL.md as a lean overview.

The A0 data-collection step lists tools but no fallback if financial_rigor or market data is unavailable; add one line on what to do when valuation verification fails.

DimensionReasoningScore

Conciseness

The body is largely efficient — tables, templates, and a formula instead of prose — but includes padded material: the Li Lu/Keynes/Duan Yongping quotes, and a Design Philosophy section explaining investor psychology Claude can infer. Not the 5 anchor (every token does not earn its place), well above the 3 anchor (padding is minor relative to the concrete instruction density).

4 / 5

Actionability

Guidance is fully executable for an agentic workflow: exact file paths ('reports/{company}-thesis.md'), named tool calls ('web_search', 'financial_rigor (command=verify_valuation)'), fill-in templates for the 5-sentence thesis and anchor tables, an explicit health formula ('10 - (broken × 3) - (impaired × 2) - (weakening × 1) - (red-lines × 5)'), and a score-to-action table. Matches the 5 anchor for an instruction-only skill.

5 / 5

Workflow Clarity

The workflow has an explicit mode-decision checkpoint (thesis file exists → Build vs Track), clearly sequenced steps (A0-A5, B1-B7), defined statuses, and explicit red-line handling with required actions. Not a destructive/batch skill, so no validation cap applies; sequence and checkpoints match the 5 anchor.

5 / 5

Progressive Disclosure

The single SKILL.md is well-organized with clear headers and a coherent single-process scope, and no bundle files exist to mis-signpost. However, at ~160 lines the example red-line table, quotes, and philosophy rationale could partially live in a reference file; structure is good but not the ideal split of the 5 anchor.

4 / 5

Total

18

/

20

Passed

Description

92%Weight 40%Scale 1-5

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

A strong description: it states concrete capabilities comprehensively, gives explicit 'use when' triggers in natural language, and occupies a distinct niche (post-buy monitoring rather than research or screening). Voice is third-person imperative throughout, consistent with the good examples. Only minor gap: a few natural trigger synonyms are absent.

DimensionReasoningScore

Specificity

The description lists multiple concrete actions with specifics: 'maintain a written investment thesis — core thesis in 5 sentences, falsifiable assumptions, red lines, valuation anchors', 're-check it each quarter', 'Scores thesis health 1-10', and 'recommends hold / add / trim / exit'. Coverage is comprehensive across the build and track lifecycle, matching the 5 anchor.

5 / 5

Completeness

Both parts are explicit: 'what' is fully stated (maintain thesis with named components, quarterly re-check, 1-10 health scoring, hold/add/trim/exit recommendation) and 'when' is explicit with concrete trigger phrases ('Use it right after buying a stock (to write the thesis) and every earnings season (to check it)'). Matches the 5 anchor.

5 / 5

Trigger Term Quality

Natural triggers are present ('right after buying a stock', 'every earnings season', 'each holding'), but a few common user phrasings are missing — e.g. 'should I sell', 'thesis check', 'position review'. Not the 5 anchor (no synonym-level saturation), clearly above the 3 anchor (keywords are natural and well-chosen).

4 / 5

Distinctiveness Conflict Risk

The niche — post-buy thesis discipline and quarterly re-checks of holdings — is distinct, with triggers (buying a stock, earnings season) that would not fire for research, screening, or general finance skills. Minimal conflict risk, matching the 5 anchor; it is not the 4 anchor because no meaningful overlap with closely related skills exists.

5 / 5

Total

19

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
HKUDS/Vibe-Trading
Reviewed

Table of Contents

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