skill-update
Skill creation, update and management — generates skill directory structure, validates against best practices, enforces line count limits.
Skill by transilienceai
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/transilienceai-skill-update
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/skill-update
What's inside
- Skill name
skill-update- Description
- Skill creation, update and management — generates skill directory structure, validates against best practices, enforces line count limits. Use when creating, updating, or improving skills.
- License
- MIT
- Instructions
- 121 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- files: referenced but missing: scripts/skill_linter.py
Files (5)
- SKILL.md
- CONTENT.md · reference/
- FRONTMATTER.md · reference/
- ROUTING.md · reference/
- STRUCTURE.md · reference/
SKILL.md (first lines)
# Skill Update
Generate or refine Claude Code skills following Anthropic best practices.
## Hard caps (enforced by `scripts/skill_linter.py`)
- `SKILL.md` ≤ 150 lines
- `reference/*.md` ≤ 200 lines (`reference/scenarios/*.md` ≤ 400 lines)
- `README.md` ≤ 100 lines
- Every `SKILL.md` has YAML frontmatter with `name` + `description`
- No `DO NOT` / `MUST NOT` / `NEVER` outside an `## Anti-Patterns` section
- No challenge-specific identifiers (machine names, lab IDs, lab IPs, preserved flags)
- Every Markdown link resolves to an existing file
- Every reference file is linked from at least one other file (no orphans)
## Principles
- **Brevity first.** Every file short, simple, human-readable. Challenge every token.
- **Progressive disclosure.** SKILL.md navigates; `reference/` holds detail; `reference/scenarios/` holds concrete exploit flows.
- **Separation of concern.** SKILL.md = WHAT + when. `reference/role-*.md` = HOW agents behave when spawned.
- **Single canonical home** for any cross-cutting rule (output discipline, credential loading, brute-force, etc.). Other files reference, never restate.
## File structure
```
skills/<skill-name>/
├── SKILL.md # ≤150 lines, YAML + navigation
├── reference/
│ ├── *-principles.md # ≤150 lines (decision tree)
│ ├── INDEX.md
│ ├── *.md # patterns, ≤200 lines
│ └── scenarios/
│ └── <category>/
│ └── *.md # ≤400 lines, self-contained
└── README.md # optional, ≤100 lines
```
## SKILL.md template
```yaml
---
name: <skill-name>
description: What it does AND when to use. Include trigger phrases.
---
# <Skill Name>
<one-paragraph scope>
## When to use
- <bullet>
## Workflow / Quick start
<≤30 lines>
## References
- [reference/...](reference/...)
## Anti-Patterns
- <when negative framing is genuinely needed, put it here>
```
## Run it
The procedure is a workflow — every step is code-enforced, so none can be skipped.
```
Workflow('skill-update', { output_dir: 'projects/<engagement>' }) // harvest an engagement
Workflow('skill-update', { learnings: [{ text, technique_type }] }) // judge a known set
Workflow('skill-update', { mode: 'audit' }) // read-only, writes nothing
```
Add `dryRun: true` to see the write plan without writing. Parent-orchestrator only.
**Phases.** Intake (baseline `skill_linter.py --json`) → Harvest (reframe learnings) →
Judge (four gates + blind refuters) → Route (author the block) → Write (persist verbatim) →
Sweep (confidentiality guard) → Verify (linter **delta**, not an absolute clean tree — the
base carries pre-existing violations).
Every promote/reject/write decision is pure JS in `.claude/workflows/lib/wf-helpers.mjs`
(`promotionGate`, `capBudget`, `writeGate`, `lintDelta`, `skillUpdateGate`). No agent decides
whether a learning is promoted or a write is allowed.
## The four-gate promotion test
Process the techniques and failure modes from completed engagements. Promote a learning to the skill base only if **all four** hold:
1. **Generalizable.** Reusable pattern, not target-specific lore. No machine names, lab IDs, target IPs, preserved flags, writeup attributions.
2. **Material improvement.** Adds coverage, efficiency, or decision-quality for future engagements.
3. **Not already captured** elsewhere in the skill base. (`scripts/skill_linter.py` flags duplicates.)
4. **Minimal footprint.** Prefer extending an existing entry over adding a new file. Keep the base lean and high-signal.
## Reframing recipe
Always frame as a reusable pattern: *"when encountering X condition, try Y approach"* — never *"on box-N, Y worked"*. Use `<TARGET_IP>`, `<DC_FQDN>`, `<DOMAIN>` placeholders in tool examples.
## Output
Three buckets, built in code so a run cannot claim an edit it did not make:
**Updated.** / **Skipped.** (with the gate that failed) / **No changes.**
## Reference
- [STRUCTURE.md](reference/STRUCTURE.md) — directory layout requirements.
- [FRONTMATTER.md](reference/FRONTMATTER.md) — YAML rules.
- [CONTENT.md](reference/CONTENT.md) — writing guidelines.
- [ROUTING.md](reference/ROUTING.md) — technique type → target file.
## Anti-Patterns
- Creating CHANGELOG.md / SUMMARY.md / VERIFICATION.md auxiliary files.
- Meta-documentation about the creation process inside the skill itself.
- Verbose inline templates and examples (link to `reference/` instead).
- Re-introducing duplicate rule prose (brute-force, output-dir, env-reader).
- Files past their cap — split into `reference/` immediately.From transilienceai/communitytools, MIT.
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Signals
- Stars
- 591
- Forks
- 83
- Open issues
- 10
- Last commit (this folder)
- Jul 28, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/transilienceai/communitytools
- Website
- www.transilience.ai/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
skill-update. Agent Mart. https://agentmart.dev/skills/transilienceai-skill-update (last updated 2026-10-24)