What is coding-agent-sessions?

Instructions and tools for finding and reading saved coding-agent conversations across many coding assistants and command-line tools.

Use them to search, inspect, read, fetch, export, or reconstruct sessions from Codex, Claude, OpenCode, Cursor, Aider, and other supported agents.

They help recover exact details from past sessions instead of relying on memory or searching each product's storage manually.

coding-agent-sessions — Skill by code-yeongyu

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/code-yeongyu/lazycodex/coding-agent-sessions

Any agent

npx skills add code-yeongyu/lazycodex --skill coding-agent-sessions

Clone the repo

git clone --depth 1 https://github.com/code-yeongyu/lazycodex

Made for: Claude Code, Codex.

Per session 247 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,816 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

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.

Model	Per session	Once invoked
Fable 5	$0.00247	$0.02816
Opus 5	$0.00123	$0.01408
Sonnet 5	$0.00049	$0.00563
Haiku 4.5	$0.00025	$0.00282

Measured 2d ago against content hash c60bc47a3108, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

coding-agent-sessions 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 2d ago.

The scan reads SKILL.md. This mod also ships 17 executable files (scripts/agent_sessions/__init__.py, scripts/agent_sessions/aside_scanner.py, scripts/agent_sessions/claude.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/omo/skills/coding-agent-sessions/SKILL.md · 133 lines

How it starts

The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Coding Agent Sessions

Find local coding-agent sessions across agent products before answering from memory. Prefer the bundled finder for broad cross-platform search, then read the selected session or raw file when you need exact evidence.

PHASE 0 - PLATFORM ROUTER

IF the user names a platform, load its reference first.

Platform	Read
Codex / OpenAI Codex CLI	`references/codex.md`
Claude Code / Claude Desktop histories	`references/claude.md`
Senpi / pi coding-agent logs	`references/senpi.md`
oh-my-pi (`omp`, `~/.omp`) and gajae-code (`gjc`, `~/.gjc`) logs	`references/senpi.md`
OpenCode / oh-my-openagent (formerly oh-my-opencode) storage	`references/opencode.md`
OpenClaw, Droid, Amp, Gemini, Kimi, Qwen, Codebuff, Roo/Kilo/Cline, Kodu, Cursor CLI, Aider, Kiro, Goose, Hermes, Crush, Zed, Aside	`references/all-platforms.md`
Unknown / "any session" / cross-agent search	`references/all-platforms.md`

Run the broad finder first unless the user gave an exact file path. For fuzzy recall, expand the query first.

When the user remembers a task vaguely ("that OpenCode bug", "the dashboard PR", "when did we fix X"), derive 3-6 short query lanes before searching: product/tool aliases, repo/package names, exact error text, issue/PR/session IDs, English/Korean phrasing, and likely verbs such as fix, review, plan, deploy, or merge. Run the lanes together with repeated --query so match_reasons shows which wording found the hit.

python3 scripts/find-agent-sessions.py list --limit 20
python3 scripts/find-agent-sessions.py find "commit" --from 7d --platform senpi --platform opencode
python3 scripts/find-agent-sessions.py find "proxy" --platform openclaw --platform droid --platform amp
python3 scripts/find-agent-sessions.py find "refactor" --platform oh-my-pi --platform gajae-code
python3 scripts/find-agent-sessions.py find --query "deploy" --query "token usage" --workers 64
python3 scripts/find-agent-sessions.py find --query "opencode bug" --query "fix opencode" --query "OpenCode parent session" --include-subagents --workers 64
python3 scripts/find-agent-sessions.py read <session-id>

Read the full file on GitHub · 133 lines

Files

What ships with it

23 files 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.

2d ago First seen · 133 lines · 247 tokens per session scan A c60bc47a3108

Subscribe to this mod's changes

coding-agent-sessions is a skill published in the GitHub repository code-yeongyu/lazycodex (3,350 stars, last pushed 23d ago), licensed MIT. It adds 247 tokens to every session and 2,816 once invoked, about $0.0012 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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