turnip-prophet

Predict Animal Crossing New Horizons turnip prices using the game's exact algorithm. Use when a user asks about turnip prices, ACNH turnips, stalk market, turnip predictions, when to sell turnips, or bell profit from turnips.

Quality

75%

Does it follow best practices?

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Securityby

Passed

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Fix and improve this skill with Tessl

tessl review fix ./SKILL.md

Quality

Content

67%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 highly actionable with real, executable scripts and a well-sequenced, validation-gated reminder setup flow. Its chief weaknesses are verbosity (repeated framing and duplicated pattern descriptions) and a monolithic structure that could offload more detail into reference files.

Suggestions

Remove the "Pattern Descriptions for Users" section or the "How It Works" pattern list — they duplicate the same four patterns; keep only the user-facing version.

Tighten the Privacy & Credentials sections, which repeat the "stored locally only / nothing sent externally" point across multiple sub-sections.

Move the detailed interactive reminder setup flow and full cron entry examples into a references/ file (e.g. REMINDERS.md), leaving SKILL.md a concise overview that links to it, to improve progressive disclosure.

Dimension	Reasoning	Score
Conciseness	The body is mostly efficient operational content, but ~300 lines with padded sections (repeated privacy/credentials framing, full sample dialogue, and a "Pattern Descriptions for Users" section that restates the four patterns already listed under "How It Work") that could be tightened, matching the mostly-efficient-with-some-unnecessary-explanation anchor.	3 / 5
Actionability	It provides concrete, mostly copy-paste-ready commands (prediction pipe, generate_chart.py invocation, jq config extraction, full cron entries), but the chart command requires constructing mins/maxs JSON from prior output and uses placeholders like "[generated entries]", leaving minor gaps below the fully-executable anchor.	4 / 5
Workflow Clarity	The usage flow is a clear numbered sequence and the reminder setup flow has explicit confirmation gates and rejection branches; because the destructive cron-install step is guarded by show-then-confirm validation, the destructive-cap does not apply, though the core prediction loop lacks an explicit validation checkpoint.	4 / 5
Progressive Disclosure	Bundle scripts (turnip_predict.py at 17KB, generate_chart.py, cron_handler.sh) are correctly externalized and referenced by one-level-deep paths that all resolve to real files, and section headers organize the content well; however SKILL.md remains fairly monolithic with the full setup flow and cron detail inlined rather than split into reference files.	4 / 5
	Total	15 / 20 Passed

Description

82%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 well-formed description that clearly states a single concrete capability and pairs it with explicit, natural-language trigger conditions. The main limitation is modest action specificity and a few missing in-game synonyms.

Dimension	Reasoning	Score
Specificity	The description names the domain and one concrete action — "Predict Animal Crossing New Horizons turnip prices using the game's exact algorithm" — but lists only a single action rather than several specific capabilities, matching the anchor for naming a domain with 1-2 concrete actions.	3 / 5
Completeness	It explicitly answers both what it does ("Predict...turnip prices using the game's exact algorithm") and when to use it ("Use when a user asks about..."), with concrete trigger phrases, matching the top anchor.	5 / 5
Trigger Term Quality	It covers strong natural terms and synonyms ("turnip prices", "ACNH turnips", "stalk market", "turnip predictions", "when to sell turnips", "bell profit from turnips"), but a few natural in-game phrases users say are missing (e.g., "Daisy Mae", "Nook's Cranny", "turnip prophet"), placing it just below comprehensive coverage.	4 / 5
Distinctiveness Conflict Risk	It occupies a clear niche (ACNH turnip price prediction) with domain-specific triggers (stalk market, ACNH turnips, bell profit) that make it unlikely to fire for unrelated skills.	5 / 5
	Total	17 / 20 Passed

Validation

81%

Warnings & errors only

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

Validation — 13 / 16 Passed

Validation for skill structure

Criteria	Description	Result
metadata_version	'metadata.version' is missing	Warning
metadata_field	'metadata' should map string keys to string values	Warning
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	13 / 16 Passed

Repository: nicholasjackson/openclaw-turnip-profit
Path: SKILL.md
Commit: 531fe3f

Reviewed: 4 days ago

Table of Contents

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