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/attckdigital/smith/smith-newnpx skills add ATTCKDigital/smith --skill smith-newgit clone --depth 1 https://github.com/ATTCKDigital/smithWhat 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 | $0.00029 | $0.06636 |
| Opus 5 | $0.00015 | $0.03318 |
| Sonnet 5 | $0.00006 | $0.01327 |
| Haiku 4.5 | $0.00003 | $0.00664 |
Grade A, and why
smith-new 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 2d 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 — 527 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SpecKit New Feature Workflow
This is the primary entry point for all new features. It combines requirements gathering, planning, and a questions gate into a single conversational flow, then hands off to autonomous execution.
Arguments: $ARGUMENTS
Vault Logging
Throughout this action, log significant events to the vault session log. Read the session log path from .smith/vault/.current-session. If the file is missing or the vault is not initialized, skip all logging silently.
Append entries to the session log using this format:
### [HH:MM:SS] /smith-new <event>
**User Request:**
> <verbatim user message that triggered this action — capture the exact words the user typed, including any conversation context that led to the request. For natural language triggers, capture the trigger message. For explicit /smith-new invocations, capture $ARGUMENTS.>
**Synthesized Input:** <brief summary of what's being built>
**Outcome:** <what happened>
**Artifacts:** <files created/modified>
**Systems affected:** <system IDs>
Log at these points:
- On invocation — capture the verbatim user request AND the synthesized feature description
- After system detection — which primary system was identified, which other systems are affected
- After spec creation — path to created spec folder and spec.md
- After questions generated — how many questions, path to questions file
- After questions answered — summary of each answer (topic + decision, not full text)
- On handoff to build — note that
/smith-buildautonomous phase was triggered
Subagent Invocation Logging
Immediately before every Agent tool call in this workflow, append a block to the session log. The Agent tool's return value does not expose subagent_type or model to the parent, so this is the only place that information can be captured.
### [HH:MM:SS] Subagent invoked: <description>
**Type:** <subagent_type or "general">
**Model:** <model override passed to Agent, or "inherited" if none>
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.
- 2d ago First seen · 527 lines · 29 tokens per session scan A e28160c730af
smith-new is a skill published in the GitHub repository ATTCKDigital/smith (52 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 6,636 once invoked, about $0.0001 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…