airmang/hwpx-mcp-server/form-fill

Claude Code and agent skill by airmang/hwpx-mcp-server

Trust tier 2
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Use this workflow when filling an existing HWPX across native fields, labeled cells, canonical paths, and body anchors through one analyzed, atomic, and verified mixed-form transaction.

Install

npx vskill@latest install airmang/hwpx-mcp-server/form-fill

SKILL.md

Form Fill

Use this workflow when a government, school, or public-sector form already exists and approved values must be applied across mixed locator types with minimal drift.

Tool Order

  1. Keep the approved source immutable and choose a distinct output path.
  2. Read visible structure with list_form_fields, get_document_outline, get_paragraphs_text, and get_table_map.
  3. Build one strict hwpx.mixed-form-plan/v1 with the required nativeField, labelCell, canonicalPath, and bodyAnchor operations.
  4. Call analyze_form_fill(plan=...) and resolve every ambiguity before applying.
  5. Call apply_form_fill(plan=compiledPlan) so all operations commit once or roll back together.
  6. Call verify_form_fill(plan=compiledPlan, expected_output_revision=...) and retain the unified receipt.
  7. Keep apply_evalplan_fill as the dedicated evaluation-plan route and compose_exam as the separate exam route.
  8. Use fill_form_field, batch_replace, or set_table_cell_text only for narrow retained compatibility cases.

Minimize Layout Drift

  • Keep table shapes unchanged unless the compiled plan explicitly permits a structural operation.
  • Prefer existing fields and anchors instead of inserting paragraphs.
  • Block on ambiguous or multi-match locators rather than selecting the first result.
  • Require open-safety, byte-preservation, reopen, and privacy evidence before handoff.

When To Inspect Package Parts

  • The same visible label appears in multiple places and analysis cannot choose uniquely.
  • The form contains unsupported drawing objects or opaque package structures.
  • The canonical locator evidence is insufficient to authorize a write.

Honest Limitations

  • The canonical mixed-form route does not replace the dedicated evaluation-plan or exam workflows.
  • Complex seals or unsupported drawings still require their dedicated tools or manual review.
  • The source and output must remain distinct; never treat an in-place compatibility edit as the canonical transaction.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
67
Repository forks
23
7-day trend score
21

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 19 Mar 2026, 7 months ago.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/airmang/hwpx-mcp-server/form-fill/badge)](https://verified-skill.com/skills/airmang/hwpx-mcp-server/form-fill)

Something wrong with this skill or its page? Tell us.