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 chuancyzhang/deepseek-cowork --skill general-experiencegit clone --depth 1 https://github.com/chuancyzhang/deepseek-coworkWrote 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/chuancyzhang/deepseek-cowork/general-experience)<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/general-experience"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/general-experience/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/chuancyzhang/deepseek-cowork/general-experience"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/general-experience.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 | $0.00017 | $0.00390 |
| Opus 5.5 | $0.00007 | $0.00156 |
| Sonnet 5.5 | $0.00003 | $0.00078 |
| Haiku 4.5 | $0.00002 | $0.00039 |
Grade A, and why
general-experience 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.
What it actually says
Skill Purpose
Use this experience package to capture runtime lessons that do not naturally belong to a narrower skill.
When to Use
Use it for cross-task execution patterns, error recovery rules, environment caveats, and general collaboration lessons.
When Not to Use
Do not store narrow tool guidance here when it clearly belongs to a more specific skill.
Common Pitfalls
Avoid promoting one-off debugging notes into durable lessons unless they are likely to recur.
Experience / Lessons Learned
Add reusable cross-task lessons here as the system evolves.
Recommended Workflow
- Record the lesson as a structured experience entry.
- Promote repeated or high-value lessons into the summary.
- Keep narrow lessons in the most specific skill possible.
Recommended Tools
record_general_experienceupdate_experienceparallel_toolsfor independent read-only evidence gathering before deciding whether a lesson is general enough to record
Interface Details
Use record_general_experience when a lesson clearly belongs to cross-task runtime knowledge instead of a narrower skill.
Use update_experience when you also want a shared entry point that can route to a specific skill or to general experience.
Constraints and Safety Rules
Do not put sensitive secrets or ephemeral one-off debugging dumps into this experience package.
Current Runtime Notes
- Prefer the narrowest owning skill. Use this package only for patterns that apply across multiple skills or task types.
- Experience updates are write operations and must not be batched through
parallel_tools. - User-reviewed
沉淀为 Skillremains the preferred path for substantial reusable workflow knowledge.
What ships with it
2 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.
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 · 49 lines · 17 tokens per session scan A 776a0b26b202
general-experience is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 17 tokens to every session and 390 once invoked, about $0.0001 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 2026-09-04.
Other skills, from other repositories
orbit-notion
Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…
agentmail
Use your assigned AgentMail inbox to read email tasks, explicitly send or reply, and check delivery. Provided automatically by your inbox assignment.
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…
rowboat-spaces
How to work as a member of Rowboat Spaces, the team chat where people and agents work together. Load it once per session, before acting on any request that reaches you from Rowboat; it covers your setup, mentions and hand-offs, the tools, and files.
pinchtab-mcp
Use this skill when a task requires browser automation through PinchTab's MCP server connected to a remote browser instance. Covers navigation, element interaction, data extraction, form filling, multi-step flows, and session management via MCP tools.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.