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 skills add brettbuddin/claude-plugins --skill recallgit clone --depth 1 https://github.com/brettbuddin/claude-pluginsWrote 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/brettbuddin/claude-plugins/recall)<a href="https://agentmods.dev/skills/brettbuddin/claude-plugins/recall"><img src="https://agentmods.dev/badge/skills/brettbuddin/claude-plugins/recall/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/brettbuddin/claude-plugins/recall"><img src="https://agentmods.dev/badge/skills/brettbuddin/claude-plugins/recall.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00102 | $0.00469 |
| Opus 5.5 | $0.00041 | $0.00188 |
| Sonnet 5.5 | $0.00020 | $0.00094 |
| Haiku 4.5 | $0.00010 | $0.00047 |
Grade A, and why
recall 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 1mo 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
Context Lookup
This skill scopes context collection to existing Smith research and plan documents before falling back to direct codebase exploration.
When This Skill Applies
This skill activates for general questions about the project: architecture, design rationale, how something works, conventions, or trade-offs. It does not apply when the user is running a Smith pipeline Command or requesting code changes.
Procedure
1. Resolve Output Directory
Check for a .smith.local.yaml file in the project root. If it exists, read the output_directory value. If absent, default to docs/. Use this as the base for all document paths below.
2. Check for Existing Documents
Glob for files in these directories (relative to the working directory):
<output_directory>/research/*.md<output_directory>/plans/*.md
If no files exist in either directory, skip to step 4.
3. Select and Read Relevant Documents
Prefer documents already known to the current conversation (i.e., files read or produced earlier in this session). Among remaining candidates, prefer the most recently modified files. If there is exactly one file whose topic matches the question, use it. If there are multiple plausible matches and the best choice is ambiguous, stop and ask the user which document to consult before proceeding.
Read the selected document(s). If the answer is fully covered by the existing documents, respond directly from them. Cite the source file path when drawing from a specific document.
4. Fall Back to Exploration
If no existing documents are relevant, or they do not fully answer the question, proceed with normal codebase exploration (Glob, Grep, Read, or the Explore agent as appropriate). Do not re-research topics already covered by an existing document.
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.
- 1mo ago First seen · 38 lines · 102 tokens per session scan A d35c8644e679
recall is a skill published in the GitHub repository brettbuddin/claude-plugins (3 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 102 tokens to every session and 469 once invoked, about $0.0004 per session on Opus 5.5. 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.
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