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 Vanyangyang/cursor-bridge --skill cursor-delegategit clone --depth 1 https://github.com/Vanyangyang/cursor-bridgeWrote 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/vanyangyang/cursor-bridge/cursor-delegate)<a href="https://agentmods.dev/skills/vanyangyang/cursor-bridge/cursor-delegate"><img src="https://agentmods.dev/badge/skills/vanyangyang/cursor-bridge/cursor-delegate/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/vanyangyang/cursor-bridge/cursor-delegate"><img src="https://agentmods.dev/badge/skills/vanyangyang/cursor-bridge/cursor-delegate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Memory Poisoning · line 75 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
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 | $0.00163 | $0.03290 |
| Opus 5.5 | $0.00065 | $0.01316 |
| Sonnet 5.5 | $0.00033 | $0.00658 |
| Haiku 4.5 | $0.00016 | $0.00329 |
Grade A, and why
cursor-delegate 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cursor Delegate
Use Cursor as an execution partner. Keep direction, scope decisions, risk ownership, result review, and final verification with the primary agent.
Declare request_context for each call: an AI caller uses sender="model"; set source="user" for explicitly supplied user requirements, "model" for your own task/inference, or "mixed" when both appear. In mixed prompts, label user-confirmed requirements separately from your additions. Use "unknown" where provenance is unavailable; a user asking you to use Cursor does not make your authored message user-authored. These labels are declarations, not authentication or extra permission, and do not carry over to later session turns.
Bind a known workspace
For CCE or cursor_do, pass the intended absolute workspace_path when the installed tool schema supports it. Use the host-provided workspace root/current-task cwd unless the request explicitly targets another project. The field is a pre-send assertion: it never selects, switches, or registers a workspace. Do not infer the target from a repository basename or a saved default binding.
With an older schema, use cursor_status to verify the exact ready project path before sending. initialized=true only means a binding exists; it does not confirm the workspace for this request. cursor_init remains the only explicit initialization, registration, or switch operation.
On pre-send WORKSPACE_CONFIRMATION_REQUIRED, WORKSPACE_INITIALIZATION_REQUIRED, or WORKSPACE_MISMATCH with a known target, first call cursor_status. Only if it confirms idle, no queued or blocking work, and workspaceBusy=false when exposed, call cursor_init for the exact path. Require ready=true, workspaceConfirmationRequired=false, and the exact projectPath; in Agents Window also check workspaceBinding.ok, the local file-URI identity and workspace ID. Retry the original CCE query or cursor_do submission once. Do not run this recovery for needs_attention, uncertain send state, busy status, or ambiguous identity; report the condition and use the necessary local fallback. Do not cancel other work, change model settings, or retry in a loop.
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 Changed · +8 lines 8e3e4154a8d6
- 1mo ago Changed 527affd683f9
- 1mo ago Changed · +3 lines · +12 tokens per session d945dedcc530
- 1mo ago Changed · +15 lines · +5 tokens per session 081a5502bf4f
- 1mo ago First seen · 95 lines · 146 tokens per session scan A 9ea635b386ff
cursor-delegate is a skill published in the GitHub repository Vanyangyang/cursor-bridge (82 stars, last pushed 5d ago), licensed MIT. It adds 163 tokens to every session and 3,290 once invoked, about $0.0007 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.
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task-manager
Creates and manages scheduled tasks, cron jobs, recurring reminders, and timers via the Task HTTP API. Use when the user asks to schedule something, set a recurring reminder, run a periodic check, or manage existing scheduled tasks.
meeting
Meeting notes assistant — organizes transcripts into structured minutes, extracts action items, and tracks attendee decisions. Use when the user asks to summarize a meeting, take meeting notes, write up minutes, create a meeting recap, list attendees, or extract action items from a call.
oculpm-journal
A work-journal format for recording coding-agent tasks, including bugs, features, errors, refactors, and chores. It defines where files go and what information each record must contain.
complete-everything
Closure mode for one approved plan: finish every open item and connected deferral, verify each acceptance criterion, require completion-judge PASS. Use when "complete everything", "don't defer", "fix out of scope too", or a plan was falsely marked done.