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-reflectnpx skills add ATTCKDigital/smith --skill smith-reflectgit 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 | $0.00054 | $0.03566 |
| Opus 5 | $0.00027 | $0.01783 |
| Sonnet 5 | $0.00011 | $0.00713 |
| Haiku 4.5 | $0.00005 | $0.00357 |
Grade A, and why
smith-reflect 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 — 381 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Smith Reflect -- Ledger Learning Extraction
Analyzes completed Smith workflows and extracts lessons into the project's Ledger.
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 using this format:
### [HH:MM:SS] /smith-reflect <event>
**User Request:**
> <verbatim user message that triggered this action>
**Synthesized Input:** <brief summary>
**Outcome:** <what happened>
**Artifacts:** <files created/modified>
**Systems affected:** <system IDs>
Log at these points:
- On invocation -- which sessions are being analyzed, mode (recent/specific/failure)
- After session analysis -- how many candidate lessons extracted per session
- After deduplication -- how many new vs reinforced entries
- After pruning -- how many entries pruned or demoted
- On completion -- full reflection summary
Phase 0: Guard -- Ensure Ledger Exists
If .smith/vault/ledger/ is missing, create the full directory scaffold before proceeding.
Create these files with initial content:
patterns.md:
# Ledger: Patterns
Approaches that worked well, extracted from completed workflows.
<!-- Entries are sorted: high confidence first, then medium, then low. Within same confidence, most recent first. -->
antipatterns.md:
# Ledger: Antipatterns
Approaches that failed or caused problems, extracted from completed workflows.
<!-- Entries are sorted: high confidence first, then medium, then low. Within same confidence, most recent first. -->
tool-preferences.md:
# Ledger: Tool Preferences
Which tools were effective in which context, extracted from completed workflows.
<!-- Entries are sorted: high confidence first, then medium, then low. Within same confidence, most recent first. -->
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 · 381 lines · 54 tokens per session scan A 62c5d3575f9b
smith-reflect is a skill published in the GitHub repository ATTCKDigital/smith (52 stars, last pushed 1mo ago), licensed MIT. It adds 54 tokens to every session and 3,566 once invoked, about $0.0003 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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