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 meta-toolsgit 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/meta-tools)<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/meta-tools"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/meta-tools/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/meta-tools"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/meta-tools.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 | $0.00024 | $0.00495 |
| Opus 5.5 | $0.00010 | $0.00198 |
| Sonnet 5.5 | $0.00005 | $0.00099 |
| Haiku 4.5 | $0.00002 | $0.00049 |
Grade A, and why
meta-tools 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 — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meta Tools
Tools for controlled read-only parallelism and high-value experience maintenance.
Tools
parallel_tools
Executes multiple independent read-only tool calls concurrently and returns ordered results.
When to use:
- When several file reads, grep/glob searches, or data lookups are independent and can run in parallel.
- When you want one explicit tool call to fan out across multiple read-only tools.
- Do not use it for writes, shell commands, approvals, user input, experience updates, or agent management.
Runtime rules:
- Each subcall must already be visible or discovered in the current run context.
- Each subcall must be allowed by the current mode, selected-skill scope, and agent profile.
- Each subcall must be marked read-only and non-destructive.
- Results preserve the order of the input call list, even if faster calls finish earlier.
- A denied or failed subcall returns a structured partial error; unsafe write tools are not executed.
update_experience
Records a verified, reusable lesson or updates a Skill description/instructions when the user explicitly requests that maintenance.
When to use:
- A failure was reproduced, its root cause was confirmed, the fix was verified, and the lesson applies across tasks.
- A stable, non-sensitive configuration rule was validated and will materially prevent future errors.
- The user explicitly asks to correct a Skill description or usage instructions.
Do not use:
- Routine task success, unverified guesses, temporary project state, full conversation content, secrets, or personal data.
- To modify Skill guidance without an explicit user request.
update_experience Parameters:
skill_name: The name of the skill to update.experience: (Optional) A concise, actionable sentence describing the lesson learned (appended to existing).description: (Optional) A new summary of what the skill does (replaces existing).instructions: (Optional) The full markdown body explaining how to use the skill (replaces existing).
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.
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 · 48 lines · 24 tokens per session scan A 0eefb1fb5d77
meta-tools is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 24 tokens to every session and 495 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.
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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…