Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/agricidaniel/skill-forge/skill-forge-convertnpx skills add AgriciDaniel/skill-forge --skill skill-forge-convertgit clone --depth 1 https://github.com/AgriciDaniel/skill-forgeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/agricidaniel/skill-forge/skill-forge-convert)<a href="https://agentmods.dev/skills/agricidaniel/skill-forge/skill-forge-convert"><img src="https://agentmods.dev/badge/skills/agricidaniel/skill-forge/skill-forge-convert.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00142 | $0.01187 |
| Opus 5 | $0.00071 | $0.00593 |
| Sonnet 5 | $0.00028 | $0.00237 |
| Haiku 4.5 | $0.00014 | $0.00119 |
Grade A, and why
skill-forge-convert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Conversion — Multi-Platform
Convert Claude Code skills to work on OpenAI Codex, Google Gemini CLI, Google Antigravity, and Cursor while maintaining quality and following each platform's best practices.
Process
Step 1: Read Source Skill
- Read the source
SKILL.mdand parse frontmatter - Detect skill complexity tier (1-4)
- Inventory all files: scripts/, references/, agents/, sub-skills
- Identify MCP config (
.mcp.json) if present
Step 2: Analyze Platform Compatibility
Run dry-run analysis first:
python scripts/convert_skill.py <path> --dry-run --target all
Review the compatibility report:
- Portable fields: Transfer directly (name, description, license)
- Adaptable fields: Need platform-specific handling
- Claude-only fields: Will be stripped with warnings
Step 3: Convert to Target Platforms
Run the conversion:
python scripts/convert_skill.py <path> --target codex,gemini,antigravity,cursor --output dist/
For MCP config conversion:
python scripts/convert_skill.py <path> --target all --output dist/ --include-mcp
Step 4: Handle Claude-Only Features
Features that need manual adaptation per platform:
| Claude Feature | Codex | Gemini/Antigravity | Cursor |
|---|---|---|---|
allowed-tools |
Supported | Remove; all tools available | Remove; no equivalent |
context: fork |
No equivalent | No equivalent | No equivalent |
hooks |
1 event (notify) | Partial (CLI) | 6 events (beta) |
model selection |
No equivalent | No equivalent | No equivalent |
Task delegation |
Break into separate skills | Break into separate skills | Background Agents (Ultra plan) |
/slash commands |
$mention syntax |
Description-based activation | Description-based + @rule |
| Sub-skill routing | Separate skills with $mention |
Separate skills, LLM-routed | Separate skills, LLM-routed |
Step 5: Validate Converted Skills
Run validation on each generated output:
python scripts/validate_skill.py dist/codex/<skill-name>/
python scripts/validate_skill.py dist/gemini/<skill-name>/
python scripts/validate_skill.py dist/antigravity/<skill-name>/
python scripts/validate_skill.py dist/cursor/<skill-name>/
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 129 lines · 142 tokens per session scan A d96a35da3a2f
skill-forge-convert is a skill published in the GitHub repository AgriciDaniel/skill-forge (166 stars, last pushed 4mo ago), licensed MIT. It adds 142 tokens to every session and 1,187 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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