feat(kyberforge): replace write-skill with spec-compliant skill-write and add skill-audit

Rewrote the skill authoring factory skill from scratch against the agentskills.io
specification. Renamed write-skill → skill-write (name now matches directory per spec).

skill-write:
- Full scaffold via new-skill.sh (annotated templates for SKILL.md, README.md,
  scripts/, references/, assets/)
- validate.sh checks all spec constraints deterministically (name format/length,
  description length, placeholder detection, line count, script rules)
- SKILL.md body includes description rules, body discipline, patterns, and scripts
  guidance with "why" rationale throughout
- Templates usable standalone by agents and humans

skill-audit:
- Structural validation (via validate.sh) + seven qualitative dimensions
- Produces PASS/FAIL/SUGGESTION punch list with per-FAIL fix proposals
- Report-only: does not apply fixes

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
2026-06-22 18:50:00 +00:00
parent 41c4da31cf
commit 672fd25890
17 changed files with 882 additions and 319 deletions

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# SKILL_NAME
<!-- FILL IN: One sentence describing what this skill does. -->
## What it does
<!-- FILL IN: 2–4 sentences. What task does this skill handle?
What does the agent produce or accomplish when it runs? -->
## Before you start
<!-- FILL IN: List any prerequisites the user should have ready.
Examples: research docs, a grill session, specific input files, credentials.
Delete this section if the skill has no meaningful prerequisites. -->
## Usage
Invoke via your agent tool:
```
/SKILL_NAME
```
<!-- FILL IN: Add any required or common arguments.
If the skill takes no arguments, delete the code block above and just keep the slash command. -->
<!-- OPTIONAL: Manual (human) workflow — include if the skill bundles scripts a human can run directly.
**Manual workflow:**
```bash
# FILL IN: step-by-step commands
```
-->
## Files
<!-- FILL IN: List the files in this skill directory and their purpose.
Remove rows for directories that don't exist in your skill.
Example rows are provided — replace with your actual files. -->
| File | Purpose |
|------|---------|
| `SKILL.md` | Skill instructions for agents |
| `scripts/` | FILL IN: what the scripts do |
| `references/` | FILL IN: what reference docs are here |
| `assets/` | FILL IN: what static resources are here |
<!-- OPTIONAL: Spec reference — include if this skill implements or follows an external standard.
## Spec reference
[FILL IN: Spec name](FILL IN: URL)
-->

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---
# SKILL.md — agentskills.io skill definition
# Fill in all FILL IN: placeholders. Remove comment blocks that don't apply.
name: SKILL_NAME
# Required. Must exactly match the parent directory name.
# Valid characters: lowercase letters, numbers, hyphens.
# Invalid: uppercase, leading/trailing/consecutive hyphens.
# Max length: 64 characters.
# Examples: my-tool, data-analyzer, pdf-processor
description: >
FILL IN: What does this skill do? State capabilities specifically
(e.g. "parses and validates OpenAPI specs", not "helps with APIs").
Use when FILL IN: when should an agent activate this skill?
Include indirect triggers: even if the user doesn't mention X explicitly.
Do not use when FILL IN: near-miss exclusions — remove this line if none apply.
# license: MIT
# Optional. License name (e.g. MIT, Apache-2.0) or relative path to a bundled
# license file. Include when distributing this skill. Omit for private/internal use.
# compatibility: Requires python3 >= 3.10 and uv
# Optional. 1–500 characters. State tool requirements, runtime versions,
# and network access needs. Omit for skills with no special environment requirements.
# metadata:
# author: your-name
# version: "1.0"
# category: general
# Optional. Arbitrary key-value map. Common keys: author, version, category.
# No restrictions on keys or values.
# allowed-tools: Bash Read Write
# Optional (experimental — support varies by client).
# Space-separated list of pre-approved tools.
# Use when tool usage is known and bounded, to reduce permission prompts.
---
<!-- ============================================================
SKILL BODY
Include only what the agent lacks:
- Domain conventions the agent cannot infer from general knowledge
- Non-obvious sequences or ordering constraints
- One default per decision point + one escape hatch (never a menu)
- Gotchas — facts that defy reasonable assumptions
Omit:
- Concepts the agent already knows
- Exhaustive option lists
- Steps the agent handles independently
- Restatements of the description
Size budget: under 500 lines / 5000 tokens.
Move reference material to references/ and load it conditionally.
Bundle repeated executable logic into scripts/.
Delete this comment block before shipping.
============================================================ -->
<!-- OPTIONAL: Gotchas section — highest-value content. Place near the top.
Add facts that defy reasonable assumptions or non-obvious constraints.
## Gotchas
- FILL IN: fact that defies a reasonable assumption
- FILL IN: non-obvious naming discrepancy or hidden constraint
-->
<!-- OPTIONAL: Multi-step workflow checklist.
## Workflow
- [ ] Step 1: FILL IN
- [ ] Step 2: FILL IN
- [ ] Step 3: FILL IN
-->
<!-- OPTIONAL: Output format template — use when the agent must produce a specific format.
## Output format
Use this structure:
```markdown
# [FILL IN: Title]
## FILL IN: Section
FILL IN: what goes here
```
-->
<!-- OPTIONAL: Conditional reference — load documentation only when needed.
If FILL IN: condition, read `references/FILL IN: filename.md`.
-->
## Instructions
FILL IN: Add your skill instructions here. Replace this section with the skill body.

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# assets/
Static resources bundled with this skill: templates, schemas, lookup tables,
sample data, images.
## When to add an asset
Add a file here when the skill needs a static resource that:
- Would be tedious to reproduce in instructions (a full JSON schema, a CSV
lookup table, a binary template)
- Needs to be referenced by path rather than inlined in SKILL.md
## How to reference from SKILL.md
Use a relative path from the skill root:
```markdown
Use the schema at `assets/response-schema.json` to validate output.
```
Or instruct the agent to load it conditionally:
```markdown
If validating output format, use `assets/response-schema.json`.
```
## If no assets are needed
Delete this README and the `assets/` directory entirely.

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# references/
Additional documentation agents load on demand. Files here extend SKILL.md
without bloating its core context.
## When to add a reference file
Move content here when SKILL.md is approaching 500 lines, or when a topic
is only relevant in specific circumstances (error handling, edge cases,
domain-specific sub-procedures).
## How to reference from SKILL.md
Load conditionally — tell the agent exactly when to read each file:
```markdown
If the API returns a non-200 status, read `references/api-errors.md`.
```
Avoid generic "see references/ for details" — the agent loads context on
demand, so give it a precise trigger condition.
## File conventions
- One topic per file — focused files mean less unnecessary context loaded
- Kebab-case filenames (e.g. `api-errors.md`, `output-formats.md`)
- Keep files under 200 lines where possible
## If no reference files are needed
Delete this README and the `references/` directory entirely.

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# scripts/
Executable code bundled with this skill. Agents run scripts in this directory
to perform repeatable operations rather than reinventing the logic each run.
## When to add a script
Add a script when agents independently reinvent the same logic across runs —
building the same parser, chart, or validation routine from scratch each time.
Bundle it here once, tested and reliable.
## Script requirements (agentskills.io)
Scripts must be designed for non-interactive, agentic execution:
- **No interactive prompts** — agents run in non-interactive shells.
Accept all input via flags, env vars, or stdin. A script that blocks on
TTY input hangs indefinitely.
- **Expose `--help`** — this is how agents learn your script's interface.
Keep the output concise; it enters the agent's context window.
- **Structured output** — write data (JSON, CSV, TSV) to stdout.
Write progress, warnings, and diagnostics to stderr.
- **Idempotent** — prefer "create if not exists" over "create and fail on
duplicate". Agents may retry on failure.
- **Meaningful exit codes** — `0` for success, non-zero for failure.
Use distinct codes for different failure types; document them in `--help`.
- **Dry-run support** — add `--dry-run` for destructive operations.
## Self-contained scripts
Bundle dependencies inline so the agent can run the script with a single command.
Python (PEP 723 + uv):
```python
# /// script
# dependencies = ["requests>=2.31,<3"]
# requires-python = ">=3.11"
# ///
import requests
```
```bash
uv run scripts/my-script.py
```
## If no scripts are needed
Delete this README and the `scripts/` directory entirely.