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build-paths-beginner

Scaffold a small RAG chatbot on Oracle 26ai Free + langchain-oracledb + OCI Generative AI Grok 4 + sentence-transformers MiniLM-L6-v2 (Python-side embeddings, same model intermediate/advanced register inside Oracle) + Open WebUI. Three flavors that share one skeleton — PDF / Markdown / Web. For users new to Oracle who want a polished demo running in an afternoon.

58

Quality

68%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./build-paths/beginner/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

77%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 well-sequenced, executable build script with strong verification and explicit stop conditions — excellent workflow clarity and actionability. Progressive disclosure is the weakest dimension: a lot of spec detail lives inline and many references point outside the bundle.

Suggestions

Move the per-idea ingest specs and the resolve-choices table into a referenced file (e.g. shared/references/beginner-flavors.md) and keep SKILL.md as an overview that links to it.

Make the embedder factory snippet complete (include the `os` import) so it is copy-paste ready.

Where references point to other skills' SKILL.md or shared/ paths, confirm those files ship in the bundle or note that they are external prerequisites.

DimensionReasoningScore

Conciseness

Lean and assumes Claude's competence (steps are commands and code, not concept explanations); a few inline specs and rationale asides could be trimmed but it is well above the midpoint for efficiency.

4 / 5

Actionability

Provides concrete, mostly-executable code (docker-compose snippet, embedder factory, verify assertions) and exact commands; minor gaps such as the missing `os` import and a couple of prose-level ingest descriptions keep it just below fully copy-paste ready.

4 / 5

Workflow Clarity

Steps 0–5 are explicitly sequenced with a verification gate (`python verify.py` expects 'OK'), a bounded retry loop ('max 3 retries'), and a Stop conditions section — explicit checkpoints and error feedback matching the score-5 anchor.

5 / 5

Progressive Disclosure

References are one-level-deep and signaled (shared/references/*, other skills' SKILL.md), but substantial detail is inlined in the body rather than split out, and the referenced paths are not part of this bundle so navigation cannot be verified.

3 / 5

Total

16

/

20

Passed

Description

58%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.

The description is highly specific and distinctive about what it builds and the exact stack, but it lacks any explicit 'when to use' trigger guidance, instead describing the target audience. Adding a concrete 'Use when...' clause would lift completeness and trigger-term quality.

Suggestions

Add an explicit 'Use when...' trigger clause, e.g. 'Use when the user wants to build a small RAG chatbot on Oracle 26ai with Grok 4 and Open WebUI, or mentions RAG / knowledge-base / chat-over-PDFs.'

Include natural user-facing synonyms and file extensions (e.g. 'chatbot', 'knowledge base', '.pdf', '.md', 'web pages') to improve trigger-term coverage.

Trim the parenthetical about intermediate/advanced model registration from the description — it is setup context, not a trigger.

DimensionReasoningScore

Specificity

Lists multiple concrete actions (scaffold a RAG chatbot, three flavors PDF/Markdown/Web, expose Grok-4 chat UI in Open WebUI) and a precise stack — comprehensive coverage, matching the score-5 anchor.

5 / 5

Completeness

The 'what' is explicit but there is no 'Use when...' clause; 'For users new to Oracle who want a polished demo running in an afternoon' targets an audience rather than stating a trigger, and the guideline caps completeness at 3 for missing trigger guidance — below the midpoint because no trigger is given.

2 / 5

Trigger Term Quality

Has relevant terms like 'RAG chatbot' and 'PDF / Markdown / Web' but lacks common synonyms a user would naturally say (no 'chatbot', 'knowledge base', or file-extension triggers); fits the 'some relevant keywords, missing variations' anchor.

3 / 5

Distinctiveness Conflict Risk

A very specific niche (Oracle 26ai Free + OCI Generative AI Grok 4 + Open WebUI RAG) gives a clear distinct trigger with minimal conflict risk against other skills.

5 / 5

Total

15

/

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.

Validation15 / 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
oracle-devrel/oracle-ai-developer-hub
Reviewed

Table of Contents

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