recall

recall is a skill for Claude Code, Codex from 7xuanlu/wenlan. It costs 32 tokens per session (927 once invoked), scanned B, original, Apache-2.0.

A Wenlan skill for searching its local memory for a specific fact, decision, lesson, or preference. It accepts a natural-language query and can search within a named space.

In plain words
What is it for?
Use it to look up a particular item in Wenlan memory, optionally limiting the search to one space.
Why use it?
It helps retrieve one needed piece of stored context without loading a broad session summary. This can save time when an agent needs a targeted answer from earlier work.

Skill for Claude CodeCodex

Written for Claude Code and Codex: allowed-tools in frontmatter, but also agents/openai.yaml present. Also seen: mentions Codex.

Good fit Use it to look up a particular item in Wenlan memory, optionally limiting the search to one space.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/7xuanlu/wenlan/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 7xuanlu/wenlan --skill recall
Clone the repo
git clone --depth 1 https://github.com/7xuanlu/wenlan

Made for: Claude Code, Codex.

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/7xuanlu/wenlan/recall.svg)](https://agentmods.dev/skills/7xuanlu/wenlan/recall)
Your own site
<a href="https://agentmods.dev/skills/7xuanlu/wenlan/recall"><img src="https://agentmods.dev/badge/skills/7xuanlu/wenlan/recall.svg" alt="Measured on agentmods" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 927 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Agent Snooping · line 36
    Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.
    Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
How audits are shown
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 $0.00032 $0.00927
Opus 5 $0.00016 $0.00464
Sonnet 5 $0.00006 $0.00185
Haiku 4.5 $0.00003 $0.00093

Measured 8d ago against content hash 454d738cd473, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade B, and why

recall scanned grade B with 1 finding 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 8d 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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

resolver="$(find "$HOME/.codex/plugins/cache" -path '*/wenlan/*/bin/resolve-space.sh' 2>/dev/null | head -1)"
plugin-codex/skills/recall/SKILL.md · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/recall

Search Wenlan memory by natural-language query. Use /brief for broad session orientation and /recall for a specific fact, decision, lesson, or preference.

Argument parsing

Accept one optional inline token of the form space:<name> anywhere in the argument string. Extract it before treating the rest as the query:

raw_args="<the full argument string passed to /recall>"
space_arg="$(printf '%s\n' "$raw_args" | grep -oE 'space:[A-Za-z0-9_-]+' | head -1 | cut -d: -f2)"
query="$(printf '%s\n' "$raw_args" | sed -E 's/[[:space:]]*space:[A-Za-z0-9_-]+[[:space:]]*/ /g' | sed -E 's/^[[:space:]]+|[[:space:]]+$//g')"

If query is empty, ask the user what they want to search for.

Resolve the active space

Call the Codex resolver:

# The resolver ships inside the installed plugin; the relative path only
# exists in a wenlan checkout.
resolver="$(find "$HOME/.codex/plugins/cache" -path '*/wenlan/*/bin/resolve-space.sh' 2>/dev/null | head -1)"
resolved="$("${resolver:-plugin-codex/bin/resolve-space.sh}" --cwd "$PWD" ${space_arg:+--arg "$space_arg"} 2>/dev/null)"
space="$(printf '%s\n' "$resolved" | cut -f1)"
source_layer="$(printf '%s\n' "$resolved" | cut -f2)"

If space is non-empty, print:

Resolved space: <space> (from <source-layer>)

If space is empty, print:

Resolved space: none (unscoped)

Pass space="<resolved>" to mcp__wenlan__recall only when space is non-empty. Do not substitute personal for an unscoped result.

Expand once, then call recall

Rewrite the query only enough to improve retrieval:

  • Replace pronouns with the referent from the current thread.
  • Expand an abbreviation when the embedder may miss it.
  • Add one obvious synonym when the user's wording is too narrow.

Do not issue multiple recall calls. Use one call:

mcp__wenlan__recall(
  query="<expanded query>",
  space="<resolved if non-empty>",
  memory_type="<only if the query names a type>"
)

Infer memory_type only when the user names a type, such as "decision on X", "lesson about Y", or "preference for Z". Otherwise omit it.

Read the full file on GitHub · 117 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 8d ago First seen · 117 lines · 32 tokens per session scan B 454d738cd473

Subscribe to this mod's changes

recall is a skill published in the GitHub repository 7xuanlu/wenlan (64 stars, last pushed today), licensed Apache-2.0. It adds 32 tokens to every session and 927 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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