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local-gh-dev

Run the Open SWE dashboard locally against real GitHub data, signed in with the `gh` CLI instead of a per-machine GitHub App. Use when asked to run the app locally, test a dashboard change against real PRs, reproduce something a screenshot shows, or when local login fails with "GITHUB_APP_CLIENT_ID not configured".

72

Quality

88%

Does it follow best practices?

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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 tight, highly actionable runbook with a clearly sequenced startup workflow and explicit validation checkpoints. The only weaknesses are minor expansive prose and the lack of any progressive-disclosure reference split for a moderately long doc.

Suggestions

Tighten the port-conflict prose in step 2 ("Other worktrees run their own backends...") to a one-line warning so conciseness reaches anchor 5.

Consider moving the env-var table and Postgres details into a short reference file linked from a Quick Start section, which would let progressive_disclosure reach anchor 5.

DimensionReasoningScore

Conciseness

No concept padding (it never explains GitHub, ports, or libraries) and commands are tight; a few operational-prose passages such as the port-conflict rationale are useful but slightly expansive, keeping it just below anchor 5.

4 / 5

Actionability

Copy-paste-ready commands throughout (lsof port check, `uv run langgraph dev --no-browser --port 2026 --n-jobs-per-worker 10`, env table, `curl -sS -o /dev/null -w '%{http_code}'`, JS evaluate snippet) cover the common cases; matches anchor 5.

5 / 5

Workflow Clarity

A numbered 1-6 startup sequence with explicit validation checkpoints (port check before starting, 401=healthy / 000=down health probe, backend-restart verification) and an error-recovery feedback loop; anchor 5. Not a destructive/batch operation, so the cap does not apply.

5 / 5

Progressive Disclosure

No bundle files exist and the runbook is self-contained with well-organized sections and no nested references; at ~106 lines it exceeds the under-50-line simple-skill exception and lacks any reference split, so it sits at anchor 4 rather than 5.

4 / 5

Total

18

/

20

Passed

Description

87%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 specific, third-person, and clearly answers both what the skill does and when to use it, with distinctive triggers including a concrete error string. Minor gains are possible in trigger synonym coverage and enumerating multiple distinct actions.

DimensionReasoningScore

Specificity

"Run the Open SWE dashboard locally against real GitHub data, signed in with the `gh` CLI" names a concrete capability and several concrete trigger scenarios; it stops short of anchor 5 because it describes one core capability rather than multiple distinct actions.

4 / 5

Completeness

Explicit "what" (run dashboard locally via gh instead of a GitHub App) and explicit "when" with concrete trigger phrases including a named error condition; matches the anchor-5 example.

5 / 5

Trigger Term Quality

Natural phrases a user would say appear ("run the app locally", "test a dashboard change against real PRs", "reproduce something a screenshot shows") plus a concrete error-string trigger; a few natural synonyms are missing, so it is not anchor 5.

4 / 5

Distinctiveness Conflict Risk

A narrow niche (Open SWE dashboard, gh-CLI local login, the specific "GITHUB_APP_CLIENT_ID not configured" trigger) makes conflict with other skills minimal; clearly anchor 5.

5 / 5

Total

18

/

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
langchain-ai/open-swe
Reviewed

Table of Contents

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