recall

recall is a skill for Claude Code from d-wwei/agent-recall. It costs 0 tokens per session (422 once invoked), scanned A, original, no licence file.

A skill for finding your earlier work across separate coding sessions by time or subject.

In plain words
What is it for?
It is for locating past work using a date-related search or a topic-based search.
Why use it?
It reduces the need to remember which session contained a decision, solution, or piece of work.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the agent-recall plugin — 11 skills, 7 hooks shipped together

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.

agentmods
npx agentmods add skills/d-wwei/agent-recall/recall
Any agent
npx skills add d-wwei/agent-recall --skill recall
Clone the repo
git clone --depth 1 https://github.com/d-wwei/agent-recall

Made for: Claude Code.

Or install agent-recall, the plugin that ships this one along with the rest of its 11 skills, 7 hooks.

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/d-wwei/agent-recall/recall.svg)](https://agentmods.dev/skills/d-wwei/agent-recall/recall)
Your own site
<a href="https://agentmods.dev/skills/d-wwei/agent-recall/recall"><img src="https://agentmods.dev/badge/skills/d-wwei/agent-recall/recall.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 422 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00000 $0.00422
Opus 5 $0.00000 $0.00211
Sonnet 5 $0.00000 $0.00084
Haiku 4.5 $0.00000 $0.00042

Measured 5d ago against content hash 0361b44e1be0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, 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 5d 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.

plugin/skills/recall/SKILL.md · 48 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 5d ago First seen · 48 lines · 0 tokens per session scan A 0361b44e1be0

Subscribe to this mod's changes

recall is a skill published in the GitHub repository d-wwei/agent-recall (1 stars, last pushed 4mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 422 tokens. 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.

Related

Other skills, from other repositories

qmd

Search the vault using QMD semantic search. Use PROACTIVELY before reading files. Preference order: (1) MCP tools — mcpqmdquery, mcpqmdget, mcpqmdmultiget, mcpqmdstatus — if they appear in your tool menu, use them first; (2) CLI qmd --index ... as fallback; (3) Grep/Glob only when QMD is not installed. Trigger…

breferrari/obsidian-mind · 142 tokens

neo4j-agent-memory-skill

Authoritative reference for the neo4j-agent-memory Python package — a graph-native memory system for AI agents built on Neo4j — and for the hosted service (NAMS) at memory.neo4jlabs.com. Use this skill whenever the user mentions neo4j-agent-memory, agent memory with Neo4j, context graphs, the POLE+O model…

neo4j-contrib/neo4j-skills · 223 tokens

context-degradation

Recognize patterns of context failure: lost-in-middle, poisoning, distraction, and clash.

agent-skills-hub/agent-skills-hub · 21 tokens

agenttrace-session-audit

Audit local AI coding-agent sessions with agenttrace. Use when the user asks to inspect Claude Code, Codex CLI, Gemini CLI, Qwen Code, Cline, Aider, Cursor exports, Hermes Agent, OpenCode, OpenClaw, Pi, Oh My Pi, Kimi CLI, Copilot-style logs, or generic JSON/JSONL traces for cost, tokens, tool failures, latency…

luoyuctl/agenttrace · 99 tokens

context-compression

Design and evaluate compression strategies for long-running sessions.

agent-skills-hub/agent-skills-hub · 13 tokens

lov-auto-context

Manual or hook-triggered context operator. Evaluates the current session for pollution (long conversations, topic drift, stale noise), AND takes concrete context-shaping actions: writing project memory, updating global or project CLAUDE.md (with diff + confirm), and recommending harness commands like /fork, /compact…

lovstudio/skills · 112 tokens