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 commands/valsecchi75/project-scaffolder/forgegit clone --depth 1 https://github.com/valsecchi75/project-scaffolderWhat 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 | $0.00033 | $0.00393 |
| Opus 5 | $0.00016 | $0.00197 |
| Sonnet 5 | $0.00007 | $0.00079 |
| Haiku 4.5 | $0.00003 | $0.00039 |
Grade A, and why
forge 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 3d 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.
What it actually says
/forge
Proactively create a new vertical skill.
Usage
/forge <domain>
Examples
/forge notification-scheduling
/forge ocr-processing
/forge payment-webhook
Steps
- Detect the project prefix (from existing skill names, e.g.
qs-). - Refuse if a skill already covers this domain — suggest
/task --skill <existing>instead. - Read context:
wiki/architecture.mdwiki/tech-stack.mdskills/_synapse-map.md
- Analyze the domain name — identify likely patterns, shared libraries, and natural connections.
- Generate the new skill at
skills/<prefix>-<domain>/SKILL.md:- Frontmatter (
name,description,maturity: seed,tasks_completed: 0,last_synapse_update: today,connections: []) - Overview (from domain + project context)
- 2-3 starter code patterns from the tech stack
- Behavioral Rules (Karpathy template)
- Verification checklist
- Empty "Common Mistakes" table (Synapse will populate)
- Frontmatter (
- Create
skills/<prefix>-<domain>/.history/. - Update
skills/_synapse-map.mdwith detected connections andpending_notes: 0. - Ask the user to review before finalizing.
Rules
- Skill name must follow the project's existing prefix.
- New skills always start at
maturity: seed. - Never skip synapse map update.
- If no connections are detectable: flag the skill as an orphan in the map for future review.
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.
- 3d ago First seen · 50 lines · 33 tokens per session scan A ecc259668b4f
forge is a command published in the GitHub repository valsecchi75/project-scaffolder (9 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 393 once invoked, about $0.0002 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 2026-08-31.
Other commands, from other repositories
git
Git operations with intelligent commit messages and workflow optimization.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.