read-memories

read-memories is a skill for Claude Code from opengeos/geoai-skills. It costs 46 tokens per session (2,100 once invoked), scanned A, original, MIT.

A skill for searching previous Claude Code session logs to recover project context. It can find earlier decisions, file paths, geographic data details, model settings, and unfinished work.

In plain words
What is it for?
Use it to look up past work across projects or limit the search to the current project, with an option to extract geographic details.
Why use it?
It saves time when important information is buried in an older coding conversation rather than documented in the current one.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: positional $N argument; mentions Claude Code.

Part of the geoai-skills plugin — 8 skills shipped together

Good fit Use it to look up past work across projects or limit the search to the current project, with an option to extract geographic details.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/opengeos/geoai-skills/read-memories
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 opengeos/geoai-skills --skill read-memories
Clone the repo
git clone --depth 1 https://github.com/opengeos/geoai-skills

Made for: Claude Code.

Or install geoai-skills, the plugin that ships this one along with the rest of its 8 skills.

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 read-memories

README.md
[![agentmods](https://agentmods.dev/badge/skills/opengeos/geoai-skills/read-memories/github.svg)](https://agentmods.dev/skills/opengeos/geoai-skills/read-memories)
Your own site
<a href="https://agentmods.dev/skills/opengeos/geoai-skills/read-memories"><img src="https://agentmods.dev/badge/skills/opengeos/geoai-skills/read-memories/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.

agentmods 80×15 button for read-memories

Your own site · 80×15
<a href="https://agentmods.dev/skills/opengeos/geoai-skills/read-memories"><img src="https://agentmods.dev/badge/skills/opengeos/geoai-skills/read-memories.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,100 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 $0.00046 $0.02100
Opus 5 $0.00023 $0.01050
Sonnet 5 $0.00009 $0.00420
Haiku 4.5 $0.00005 $0.00210

Measured 12d ago against content hash deecb0949889, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

read-memories 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 12d 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.

skills/read-memories/SKILL.md · 259 lines

How it starts

The opening of the file, as written. The whole thing — 259 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Use this to recover your own context from past sessions. Do NOT narrate the process to the user -- silently run the query, absorb the results, and continue with enriched context.

$0 is the keyword to search for. Pass --here as an argument to scope the search to the current project only. Pass --geo as an argument to additionally extract geospatial-specific context (EPSG codes, bounding boxes, CRS info, spatial file paths, model names).

Step 1 -- Set the search path

ALL_PROJECTS="$HOME/.claude/projects/*/*.jsonl"
CURRENT_PROJECT="$HOME/.claude/projects/$(echo "$PWD" | sed 's|[/_]|-|g')/*.jsonl"

Use $CURRENT_PROJECT if any argument is --here, otherwise use $ALL_PROJECTS. Store the chosen glob in SEARCH_PATH.

Check whether the --geo flag is present.

Step 2 -- Query with Python

Run the following Python script via python3 -c "...", substituting <SEARCH_PATH> and <KEYWORD> with the resolved values. Escape any single quotes in <KEYWORD> before embedding it.

python3 -c "
import json, glob, os

SEARCH_PATH = '<SEARCH_PATH>'
KEYWORD = '<KEYWORD>'.lower()
LIMIT = 40

files = sorted(glob.glob(os.path.expanduser(SEARCH_PATH)))
results = []

for fpath in files:
    parts = fpath.split('/')
    try:
        proj_idx = parts.index('projects') + 1
        project = parts[proj_idx] if proj_idx < len(parts) else 'unknown'
    except ValueError:
        project = 'unknown'

    with open(fpath, 'r', errors='replace') as f:
        for line in f:
            try:
                obj = json.loads(line)
            except (json.JSONDecodeError, ValueError):
                continue

            msg = obj.get('message')
            if not isinstance(msg, dict):
                continue
            role = msg.get('role')
            if role not in ('user', 'assistant'):
                continue

            content = msg.get('content', '')
            if isinstance(content, list):
                text = ' '.join(
                    c.get('text', '')
                    for c in content
                    if isinstance(c, dict) and 'text' in c
                )
            elif isinstance(content, str):
                text = content
            else:
                continue

            if KEYWORD not in text.lower():
                continue

            ts = obj.get('timestamp', '')
            snippet = text[:1500]
            results.append({
                'project': project,
                'ts': ts[:16].replace('T', ' ') if ts else '',
                'role': role,
                'content': snippet,
            })

            if len(results) >= LIMIT:
                break
    if len(results) >= LIMIT:
        break

print(f'Found {len(results)} results (limit {LIMIT})')
print('---')
for i, r in enumerate(results):
    print(f'[{i+1}] project={r[\"project\"]} ts={r[\"ts\"]} role={r[\"role\"]}')
    print(r['content'][:800])
    print('---')
"

Read the full file on GitHub · 259 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. 12d ago First seen · 259 lines · 46 tokens per session scan A deecb0949889

Subscribe to this mod's changes

read-memories is a skill published in the GitHub repository opengeos/geoai-skills (30 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 2,100 once invoked, about $0.0002 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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