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.
npx skills add dashhuang/openclaw-chat-history-import --skill openclaw-chat-history-importgit clone --depth 1 https://github.com/dashhuang/openclaw-chat-history-importWrote 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.
[](https://agentmods.dev/skills/dashhuang/openclaw-chat-history-import/openclaw-chat-history-import)<a href="https://agentmods.dev/skills/dashhuang/openclaw-chat-history-import/openclaw-chat-history-import"><img src="https://agentmods.dev/badge/skills/dashhuang/openclaw-chat-history-import/openclaw-chat-history-import/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.
<a href="https://agentmods.dev/skills/dashhuang/openclaw-chat-history-import/openclaw-chat-history-import"><img src="https://agentmods.dev/badge/skills/dashhuang/openclaw-chat-history-import/openclaw-chat-history-import.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 5.1 | $0.00057 | $0.03305 |
| Opus 5.5 | $0.00023 | $0.01322 |
| Sonnet 5.5 | $0.00011 | $0.00661 |
| Haiku 4.5 | $0.00006 | $0.00331 |
Grade A, and why
chat-history-import 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 363 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Chat History Import
Use this skill when a user wants to import chat history from Claude, ChatGPT, Telegram Desktop exports, Slack exports, markdown logs, JSON/JSONL transcripts, or similar archives into an OpenClaw workspace.
The most common source formats for this skill are ChatGPT exports and Claude exports. Telegram Desktop HTML exports are also supported when the user wants to backfill a Telegram direct chat or group into OpenClaw's raw archive. If the user has not exported data yet, suggest the usual official export entry points first:
- ChatGPT:
Settings -> Data Controls -> Export - Claude:
Settings -> Privacy -> Export data
These exports usually arrive as ZIP files and are good candidates for the built-in import flow.
What This Skill Owns
- raw archive import into
logs/message-archive-raw/ - daily memory distillation into
memory/YYYY-MM-DD.md MEMORY.mdcandidate generation- review and apply workflow for memory merges
Related OpenClaw Components
This skill is not a replacement for the live archive plugin or archive search skill.
conversation-archiveplugin- Recommended when the workspace wants future live chats written into the same
logs/message-archive-raw/tree. - This skill should emit archive files that are fully compatible with that plugin's raw archive layout.
- Recommended when the workspace wants future live chats written into the same
conversation-historyskill- Strongly recommended when the user wants agents to search imported history after import.
- This import skill writes archive files; it does not replace archive recall/search workflows on its own.
Preferred combined setup:
- use
chat-history-importto backfill old history - use
conversation-archiveto keep new history flowing in - use
conversation-historyto search both imported and live archive data
What Scripts Do vs. What The Model Does
Scripts handle deterministic work:
- inspect the source archive
- normalize messages into the archive schema
- validate archive compatibility
- write review artifacts
- apply approved memory merges
What ships with it
8 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.
- references/prompts.md 6.3 KB
- references/schema.md 4.6 KB
- scripts/archive_contract.py 6.3 KB runs code
- scripts/build_review_checklist.py 6.5 KB runs code
- scripts/inspect_import.py 12 KB runs code
- scripts/memory_merge.py 11 KB runs code
- scripts/normalize_import.py 31 KB runs code
- scripts/validate_archive.py 7.4 KB runs code
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.
- 1mo ago First seen · 363 lines · 57 tokens per session scan A d2276de52e36
chat-history-import is a skill published in the GitHub repository dashhuang/openclaw-chat-history-import (143 stars, last pushed 6mo ago), licensed MIT. It adds 57 tokens to every session and 3,305 once invoked, about $0.0002 per session on Opus 5.5. 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.
Other skills, from other repositories
knowledge-ingest
Ingest documents, articles, conversations, or supplied text into Knowledge with retained originals, sourced claims, entity updates, timelines, and cross-links; also learn durable lessons from a set of conversations, transcripts, or past sessions (/learn), including the Learn from conversations and Learn from Memory…
mem0-oss-to-platform
Plan, then execute, a migration of a project from the mem0 open-source / self-hosted SDK (local Memory class) to the mem0 Platform / hosted SDK (MemoryClient). TRIGGER when: the developer wants to move, switch, or migrate mem0 off OSS/self-hosted to the hosted API, e.g. "migrate my mem0 setup to the platform", "switch…
forget
Remove a personal fact, preference, relationship detail, topic, or prior event from Muse's active memory and stop existing copies or automations from bringing it back. Use for explicit requests such as 'forget that', 'don't remember this about me', or 'remove that from your memory'. Do not use when 'forget it' merely…
Cortex
LifeOS memory, prior-session recall, and learning capture. USE WHEN capture this learning, document this learning, what did we learn recently, recent learnings, cortex, knowledge, knowledge base, search knowledge, what do we know about, archive, harvest, knowledge status, develop note, add to knowledge, add a people…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…