fix lint

Signed-off-by: vladmandic <mandic00@live.com>

.github/skills/analyze-model/SKILL.md

@@ -130,4 +130,4 @@ If critical information is missing, explicitly list unknowns and what to inspect
 
 - Prefer concrete evidence from repository files and model card over assumptions.
 - If source suggests multiple possible paths, compare at least two and state why one is preferred.
-- Keep recommendations aligned with the conventions defined in the port-model skill.
+- Keep recommendations aligned with the conventions defined in the port-model skill.

.github/skills/check-models/SKILL.md

@@ -148,4 +148,4 @@ A full pass requires all of the following in audited scope:
 - reference entries are valid, categorized correctly, and have preview files
 - custom pipeline contracts are consistent with actual model behavior
 
-If any area is intentionally out of scope, mark as partial pass with explicit exclusions.
+If any area is intentionally out of scope, mark as partial pass with explicit exclusions.

.github/skills/check-schedulers/SKILL.md

@@ -146,4 +146,4 @@ The check passes only if all are true:
 - each `SamplerData` entry is correctly mapped and usable
 - no blocking runtime or compile-path failures in validated scope
 
-If scope is partial due to environment limitations, report pass with explicit limitations, not a full pass.
+If scope is partial due to environment limitations, report pass with explicit limitations, not a full pass.

.github/skills/debug-model/SKILL.md

@@ -214,4 +214,4 @@ When closing the task, report which of these were completed:
 - "The new model port fails in from_pretrained"
 - "SD.Next detects my custom pipeline as the wrong model type"
 - "The loader works but generation returns black images"
-- "This standalone-script port loads weights but crashes in attention"
+- "This standalone-script port loads weights but crashes in attention"

.github/skills/fix-lint/SKILL.md

@@ -29,8 +29,8 @@ If activation fails, report the blocker and stop before running Python-based too
 Run tools in this exact sequence:
 
 1. `pre-commit run --all-files`
-2. `eslint . javascript/`
-3. `cd extensions-builtin/sdnext-modernui && eslint . javascript/`
+2. `{PROJECT_ROOT}/node_modules/.bin/eslint . javascript/`
+3. `cd extensions-builtin/sdnext-modernui && {PROJECT_ROOT}/node_modules/.bin/eslint . javascript/`
 4. `ruff check`
 5. `pylint *.py`
 6. `pylint modules/`
@@ -38,6 +38,8 @@ Run tools in this exact sequence:
 8. `pylint scripts/`
 9. `pylint extensions-builtin/`
 
+Note that `pylint` can run for considerable time, so run with no timeouts.
+
 ## Fix Policy
 
 - Fix issues reported by each tool before moving on.

.github/skills/github-issues/SKILL.md

@@ -6,12 +6,12 @@ argument-hint: "Optionally specify state (open/closed/all), max issues, and whet
 
 # Summarize SD.Next [Issues] GitHub Issues
 
-Fetch issues from the SD.Next GitHub repository that contain `[Issues]` in the title, then produce a concise markdown report with one entry per issue.
+Fetch issues from the SD.Next GitHub repository that contain `[Issue]` in the title, then produce a concise markdown report with one entry per issue.
 
 ## When To Use
 
 - The user asks for periodic issue triage summaries
-- You need an actionable status report for `[Issues]` tracker items
+- You need an actionable status report for `[Issue]` tracker items
 - You want suggested next actions for each matching issue
 
 ## Repository

.github/skills/port-model/SKILL.md

@@ -244,4 +244,4 @@ When using this skill, the final implementation should usually include:
 - "Port this standalone inference script into an SD.Next Diffusers pipeline"
 - "Add support for this Hugging Face model repo to SD.Next"
 - "Wire this upstream Diffusers pipeline into SD.Next autodetect and loading"
-- "Convert this single-file checkpoint model into a custom Diffusers pipeline for SD.Next"
+- "Convert this single-file checkpoint model into a custom Diffusers pipeline for SD.Next"