recall

recall is a skill for Claude Code from LucasSantana-Dev/sharekit. It costs 121 tokens per session (1,041 once invoked), scanned A, original, MIT.

A one-shot semantic search over a local RAG index, which is a searchable collection of project documents and code used to answer questions from stored context. It looks up decisions, previous bugs, plans, commits, and other notes.

In plain words
What is it for?
It helps answer questions such as what the team decided about a topic, where a bug appeared before, or what was recently shipped.
Why use it?
It saves time when the needed context already exists locally but is hard to find by browsing files manually.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit It helps answer questions such as what the team decided about a topic, where a bug appeared before, or what was recently shipped.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lucassantana-dev/sharekit/recall
Install

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.

Any agent
npx skills add LucasSantana-Dev/sharekit --skill recall
Clone the repo
git clone --depth 1 https://github.com/LucasSantana-Dev/sharekit

Made for: Claude Code.

Wrote 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.

agentmods badge for recall

README.md
[![agentmods](https://agentmods.dev/badge/skills/lucassantana-dev/sharekit/recall.svg)](https://agentmods.dev/skills/lucassantana-dev/sharekit/recall)
Your own site
<a href="https://agentmods.dev/skills/lucassantana-dev/sharekit/recall"><img src="https://agentmods.dev/badge/skills/lucassantana-dev/sharekit/recall.svg" alt="Measured on agentmods" height="20"></a>
Per session 121 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,041 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00121 $0.01041
Opus 5 $0.00060 $0.00521
Sonnet 5 $0.00024 $0.00208
Haiku 4.5 $0.00012 $0.00104

Measured 3d ago against content hash a2fe294ded68, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

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 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.

sharekit-profile/.claude/skills/recall/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

recall

Single-shot RAG lookup. Don't over-fetch.

Mount guard: [ -d "${DEV_ROOT}/rag-index" ] || echo WARNING: RAG degraded - directory reachability, not mount output parsing (matches the canonical guard in claude/skills/knowledge-loop/references/mount-guard.sh: mount only lists actual mount points, never nested paths, so grepping its output false-positives as "unmounted" even when the drive is present; it also escapes spaces in mount-point paths on Linux, which a naive grep won't decode). The index lives on the external drive; an unmounted drive silently degrades recall. See standards/knowledge-brain.md §1.

How

Call the MCP tool directly:

rag_query(query="<natural-language question>", top=5)

Done when: top results answer your question in 1–2 chunks. If not, narrow the query or increase top (up to 8).

Optional args:

  • top (1–20, default 5) — more isn't always better; reranker quality drops past 8.
  • scope_types — narrow to e.g. ["memory", "handoffs"] for "what did I write down" queries, or ["commit"] for "what did we ship lately on X".
  • scope_repos — pass ["all"] to ignore cwd auto-scope; pass ["<project-a>"] etc. to force a specific repo.

Failure modes

  • Unmounted external drive — if the drive drops mid-session, the RAG index becomes stale or inaccessible. Mount guard (above) catches this; surface "WARNING: RAG degraded" and skip the query or fall back to grep.
  • Stale index — if memory or code changed recently and the reindex hook hasn't run (2–5 minute lag typical), you may miss the latest decisions or commits. Fallback: ask directly ("what did we just decide") or grep recent files / git log.
  • Low-quality rerank — if you ask a vague question ("fix this") without context, the reranker may return false positives. Be specific ("why did we choose D1 for Progress Tracker storage").

Anatomy of results

A rag_query() result includes:

{
  "results": [
    {
      "text": "<chunk content>",
      "source": {
        "type": "memory" | "handoff" | "plan" | "commit" | "code" | "readme",
        "repo": "<project-a>" | "<homelab>" | "...",
        "path": "..."
      },
      "score": 0.87  // reranker confidence; >0.8 usually relevant
    }
  ]
}

Read the full file on GitHub · 79 lines

Changes

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.

  1. 3d ago First seen · 79 lines · 121 tokens per session scan A a2fe294ded68

Subscribe to this mod's changes

recall is a skill published in the GitHub repository LucasSantana-Dev/sharekit (1 stars, last pushed 7d ago), licensed MIT. It adds 121 tokens to every session and 1,041 once invoked, about $0.0006 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 2026-09-03.

Related

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