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process-discussions

Facilitate Open Notebook's GitHub Discussions queue — qualify Ideas, decompose them into distinct needs, verify claims in code, propose outcomes (exploring / graduated / parked / combined), draft replies, and graduate small gaps into ready Issues. Use when processing, triaging, or responding to Discussions, or when the user says "process discussions" / "vamos fazer as discussions".

73

Quality

90%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

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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.

A highly actionable, well-sequenced facilitation playbook with executable commands and strong validation gates. Its main weakness is progressive disclosure: a long single-file body that could offload reference material (GraphQL ID regeneration, the outcome table) into separate files.

Suggestions

Move the GraphQL category-id regeneration snippet and the outcomes table into a reference file (e.g. references/outcomes.md), keeping SKILL.md as a lean overview that links one level deep.

Relocate calibration provenance dates (2026-08-16, 2026-09-02) into a short 'Calibration history' note or memory pointer so the main flow stays evergreen.

Trim editorializing lines like 'The single highest-value step' and 'Cluster detection across the queue is what makes individual replies good' to tighten token efficiency.

DimensionReasoningScore

Conciseness

The body is dense with calibrated, domain-specific practice rather than concepts Claude already knows, but carries mild editorializing and embedded calibration dates (2026-08-16, 2026-09-02) that could be tightened or moved to a provenance note.

4 / 5

Actionability

Provides copy-paste-ready GraphQL queries, concrete gh CLI commands, a precise outcome table with required reply contents, and an ordered 8-step reply structure covering the common cases.

5 / 5

Workflow Clarity

Phases 0–4 plus Session close are clearly sequenced, with an explicit approval gate before any post/close/open and verification-before-replying as a feedback loop for the batch/destructive GitHub operations.

5 / 5

Progressive Disclosure

Section headers organize the phases well, but this is a ~200-line monolithic file with all detail inline and no bundle files; the under-50-line simple-skill exception does not apply, so it stops short of clean one-level-deep reference splitting.

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, specific description that concretely states what the skill does and when to invoke it, with a distinct trigger including a non-English phrase. The only minor gap is synonym coverage in the trigger terms.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — qualify Ideas, decompose into distinct needs, verify claims in code, propose named outcomes, draft replies, graduate gaps into ready Issues — giving comprehensive coverage rather than just naming the domain.

5 / 5

Completeness

Explicitly answers both 'what' (the facilitation action list) and 'when' via a 'Use when...' clause with concrete trigger phrases, matching the top anchor.

5 / 5

Trigger Term Quality

Includes natural phrases ('processing, triaging, or responding to Discussions') plus explicit trigger quotes ('process discussions', 'vamos fazer as discussions'), but does not enumerate a fuller set of synonyms a user might say.

4 / 5

Distinctiveness Conflict Risk

Scoped to Open Notebook's GitHub Discussions queue with a distinct bilingual trigger, giving it a clear niche and minimal overlap with other skills.

5 / 5

Total

19

/

20

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
lfnovo/open-notebook
Reviewed

Table of Contents

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