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/nbpadilha/nbp-skillforge/featuregit clone --depth 1 https://github.com/nbpadilha/nbp-skillforgeWrote 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/commands/nbpadilha/nbp-skillforge/feature)<a href="https://agentmods.dev/commands/nbpadilha/nbp-skillforge/feature"><img src="https://agentmods.dev/badge/commands/nbpadilha/nbp-skillforge/feature.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 | $0.00008 | $0.00130 |
| Opus 5 | $0.00004 | $0.00065 |
| Sonnet 5 | $0.00002 | $0.00026 |
| Haiku 4.5 | $0.00001 | $0.00013 |
Grade A, and why
feature scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Feature
Implement the feature across all required layers.
Working folder
At the start, create this run's folder:
RUN_DIR=$(run-dir feature "$DESC" --track)
The logic (slug, timestamp, tracking) lives in the script — the skill does not restate it.
Break it into verifiable steps and validate each layer.
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 · 21 lines · 8 tokens per session scan A c6a3cd881b6c
feature is a command published in the GitHub repository nbpadilha/nbp-skillforge (8 stars, last pushed 1mo ago), licensed MIT. It adds 8 tokens to every session and 130 once invoked, about $0.0000 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
deslop
Remove AI-generated code slop from the current branch's changes.
/release
Release a new version — updates CHANGELOG, pyproject.toml, creates git tag, and pushes.
warden-cost
Dollar accounting — what does each active rule actually save, in money? Translates the token-measured verdict into dollars using a price table and the agent's own token-type mix, with a per-session net and a break-even. Read-only; spends no tokens.
OPSX: Propose
Propose a new change - create it and generate all artifacts in one step.
mega-plan
Generate a mega-plan for project-level multi-feature orchestration. Breaks a complex project into parallel features with dependencies. Usage: /plan-cascade:mega-plan [--flow ] [--tdd ] [--confirm] [--no-confirm] [--spec ] [--first-principles] [--max-questions N] [design-doc-path].
resume
Auto-detect and resume any interrupted Plan Cascade task. Detects mega-plan, hybrid-worktree, or hybrid-auto context and routes to the appropriate resume command.