avabbbb
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flovart
Use Iris's visible Workflow through its stable Agent surface. Use when an agent must prepare the workspace, inspect the current graph, read selection, apply document changes, or run a Workflow node.
Overview
Use Iris's visible Workflow through its stable Agent surface. Use when an agent must prepare the workspace, inspect the current graph, read selection, apply document changes, or run a Workflow node.
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Iris
Iris is the visible Workflow authority. The Link layer prepares the local session automatically. Do not ask the user for connection details and do not recreate a connection flow in the conversation.
This Skill expects Node.js 22.19.0 or newer when the local CLI is run.
Normal loop
Start every new task with:
flovart ensure --json
flovart workflow.inspect --agent-identity codex --json
When working directly from this source checkout, use the repository entrypoint
if the packaged flovart command is not installed:
npm run flovart:cli -- ensure --json
npm run flovart:cli -- workflow.inspect --agent-identity codex --json
Do not use npx flovart-cli as an automatic fallback; an unpublished source
checkout can make npx query an unrelated registry package.
Use only the stable Workflow surface for normal work:
Use ensure as the bootstrap command. The five stable task operations are
status, workflow.inspect, workflow.selection.get, workflow.apply, and
workflow.node.run.
flovart ensure
flovart status
flovart workflow.inspect
flovart workflow.selection.get
flovart workflow.apply
flovart workflow.node.run
The same five operations are available through the optional local stdio MCP
projection for MCP-capable hosts such as TeleAgent. The MCP names are
flovart_status, flovart_workflow_inspect, flovart_workflow_selection,
flovart_workflow_apply, and flovart_workflow_run. MCP is a transport
projection, not a second Workflow runtime; use the CLI path for Codex,
Claude Code, OpenCode, and WorkBuddy's CLI Connector unless that host has a
separately certified MCP integration.
Before a change, read the real projectId, object IDs, and revision from
workflow.inspect. Read workflow.selection.get when the request depends on
the current selection. Group related graph edits into one workflow.apply.
Pass the returned project and revision as preconditions, and use a stable
mutationId and idempotencyKey for every write or run.
After a write, inspect again. If a command fails, preserve its structured error
code, inspect before retrying, and stop safely when the visible workspace is
unavailable or the target/revision changed. Never choose another project or
retry a mutation with a new identity.
Resolve Studio 21.1 — no-provider Media Pool tracer
Use this path only for the Resolve R0/R1 host-validation task. Resolve owns project, timeline, selection, and Media Pool state. Flovart CLI owns the local deterministic fixture task and its durable Artifact.
Before starting, verify the installed product is Resolve Studio 21.1 and that its native MCP is connected to the same local Resolve instance. Discover the tool names and current API through that MCP; do not guess from another Resolve version. If 21.1 or the native MCP is unavailable, stop and report the exact host gate instead of presenting a mock as Resolve evidence.
For the no-provider tracer:
-
Use Resolve native MCP to read the current project, timeline, and selected clip. Keep their stable identities and the timeline state for this task; recheck them before a Resolve write. If the selected target changes, stop instead of retargeting.
-
Submit the fixed local fixture with one unique idempotency key:
flovart runtime.test.fixture-image --idempotency-key <unique-key> --jsonFrom this source checkout, use
npm run flovart:cli --before the command. If submission status is unknown, retry with the same key, never a new one. -
Poll the returned task ID with
flovart task.get --task-id <taskId> --jsonuntil it is completed. Stop on failure or cancellation. -
Resolve the completed file immediately before import:
flovart artifact.locate --task-id <taskId> --jsonThe result is a local path plus the verified MIME type, byte size, and SHA-256. Use that path only for the immediate host import; do not write it into project metadata.
-
Use a bounded Media Pool import operation exposed by the installed Resolve native MCP. Do not add the fixture to the Timeline, replace a clip, delete or overwrite media, or run unrestricted scripts. If the installed MCP has no safe bounded import path, stop and report that concrete gap.
-
Re-read the Media Pool and Timeline through Resolve MCP. Confirm the item appears in the Media Pool and the Timeline state is unchanged.
runtime.test.fixture-image imports the repository's fixed public/favicon.png
as a no-provider fixture. It verifies the local task-to-file handoff only; it
does not use the selected clip as a visual reference and is not AI generation.
Never describe it as a generated scene or as a completed real-host tracer until
Resolve visibly accepts the file and the Timeline comparison passes.
Cold start — no project open
workflow.inspect returns WORKSPACE_UNAVAILABLE when the browser is
connected but no Workflow project is open. This is not a fatal stop: the task
usually still wants a project. Create and activate one, then inspect again:
npm run flovart:cli -- workflow.project.create --title "Product Video" --agent-identity codex --idempotency-key <key> --json
npm run flovart:cli -- workflow.project.use --project-id <project-id> --agent-identity codex --idempotency-key <key> --json
npm run flovart:cli -- workflow.inspect --agent-identity codex --json
workflow.project.list shows existing projects. Only stop for the user when
the browser itself is offline — not when the workspace is simply empty.
Every write command must carry the same --agent-identity used for
inspect plus a stable --idempotency-key. Passing identity only to inspect
and omitting it on project.create/workflow.apply makes the write fail with
AGENT_HOST_REQUIRED — the active Host writer must match the caller identity.
Intent mapping
- “打开 Flovart” →
ensure, thenworkflow.inspect. - “查看当前 Workflow” →
workflow.inspect. - “当前选择” →
workflow.selection.get. - Add, delete, move, resize, connect, disconnect, or edit → one
workflow.apply. - Run a node →
workflow.node.runafter confirming the node from inspection.
For a sequence of nodes, the granular workflow.node.create-connected adapter
is the reliable path — it fills the node defaults (including storageKey) that
a bare workflow.apply add_node operation requires. Prefer it over a raw
add_node when you only have a type/title/position:
npm run flovart:cli -- workflow.node.create-connected --from-node-id <id> --type text --title "Shot 2" --x 420 --y 120 --agent-identity codex --idempotency-key <key> --json
The UI and Iris own Provider routing, credentials, cost confirmation, resource resolution, and artifacts. Do not call a Provider directly, store credentials, modify browser storage, use private routes, or create a second Workflow runtime. A missing reference or unsupported input must remain an explicit failure; never downgrade the requested media mode silently.
Resolve host boundary
For DaVinci Resolve, use Resolve Studio's own native MCP for host context and
project operations; do not create or configure a second Resolve MCP server.
The current flovart CLI Workflow operations do not materialize a Runtime
artifact into a durable local file that Resolve can import. Do not infer a file
path from a task/artifact ID, call private Runtime endpoints, or report a Media
Pool import from the task result alone. Until an explicit artifact handoff path
is available and real-host verified, report this boundary clearly.
Conversation rules
Talk to the user about the Workflow, not the machinery behind it.
- Never echo raw
projectId, object IDs,revision,mutationId,idempotencyKey, or JSON payloads back to the user. Say "the current project" or use the node's title instead. - Never explain internal mechanics — Host writer, lease, bridge, polling, session recovery, or the MCP transport. Describe the visible result ("the node is running"), not the mechanism.
- Pick reasonable defaults and keep moving: choose a sensible title, position, and node type instead of asking. Ask the user only when the request is genuinely ambiguous, spends credits, or destroys existing work.
- On failure, run
workflow.inspectbefore retrying so the retry uses fresh IDs and revision. Attempt at most one automatic recovery for the same failure; if it fails again, report the error in user terms and stop. - On timeout or lost contact, rejoin the same operation with the same
idempotencyKey/mutationId. Never resubmit a duplicate mutation under a new key. - Report results in user-facing terms only: what was added or changed on the canvas, what is running, what finished. Surface a structured error code only when the user must act on it.
File metadata
name: flovart description: Use Iris's visible Workflow through its stable Agent surface. Use when an agent must prepare the workspace, inspect the current graph, read selection, apply document changes, or run a Workflow node.
View original text
---
name: flovart
description: Use Iris's visible Workflow through its stable Agent surface. Use when an agent must prepare the workspace, inspect the current graph, read selection, apply document changes, or run a Workflow node.
---
# Iris
Iris is the visible Workflow authority. The Link layer prepares the local
session automatically. Do not ask the user for connection details and do not
recreate a connection flow in the conversation.
This Skill expects Node.js 22.19.0 or newer when the local CLI is run.
## Normal loop
Start every new task with:
```bash
flovart ensure --json
flovart workflow.inspect --agent-identity codex --json
```
When working directly from this source checkout, use the repository entrypoint
if the packaged `flovart` command is not installed:
```bash
npm run flovart:cli -- ensure --json
npm run flovart:cli -- workflow.inspect --agent-identity codex --json
```
Do not use `npx flovart-cli` as an automatic fallback; an unpublished source
checkout can make `npx` query an unrelated registry package.
Use only the stable Workflow surface for normal work:
Use `ensure` as the bootstrap command. The five stable task operations are
`status`, `workflow.inspect`, `workflow.selection.get`, `workflow.apply`, and
`workflow.node.run`.
```text
flovart ensure
flovart status
flovart workflow.inspect
flovart workflow.selection.get
flovart workflow.apply
flovart workflow.node.run
```
The same five operations are available through the optional local stdio MCP
projection for MCP-capable hosts such as TeleAgent. The MCP names are
`flovart_status`, `flovart_workflow_inspect`, `flovart_workflow_selection`,
`flovart_workflow_apply`, and `flovart_workflow_run`. MCP is a transport
projection, not a second Workflow runtime; use the CLI path for Codex,
Claude Code, OpenCode, and WorkBuddy's CLI Connector unless that host has a
separately certified MCP integration.
Before a change, read the real `projectId`, object IDs, and revision from
`workflow.inspect`. Read `workflow.selection.get` when the request depends on
the current selection. Group related graph edits into one `workflow.apply`.
Pass the returned project and revision as preconditions, and use a stable
`mutationId` and `idempotencyKey` for every write or run.
After a write, inspect again. If a command fails, preserve its structured error
code, inspect before retrying, and stop safely when the visible workspace is
unavailable or the target/revision changed. Never choose another project or
retry a mutation with a new identity.
## Resolve Studio 21.1 — no-provider Media Pool tracer
Use this path only for the Resolve R0/R1 host-validation task. Resolve owns
project, timeline, selection, and Media Pool state. Flovart CLI owns the local
deterministic fixture task and its durable Artifact.
Before starting, verify the installed product is Resolve Studio 21.1 and that
its native MCP is connected to the same local Resolve instance. Discover the
tool names and current API through that MCP; do not guess from another Resolve
version. If 21.1 or the native MCP is unavailable, stop and report the exact
host gate instead of presenting a mock as Resolve evidence.
For the no-provider tracer:
1. Use Resolve native MCP to read the current project, timeline, and selected
clip. Keep their stable identities and the timeline state for this task;
recheck them before a Resolve write. If the selected target changes, stop
instead of retargeting.
2. Submit the fixed local fixture with one unique idempotency key:
```bash
flovart runtime.test.fixture-image --idempotency-key <unique-key> --json
```
From this source checkout, use `npm run flovart:cli --` before the command.
If submission status is unknown, retry with the same key, never a new one.
3. Poll the returned task ID with `flovart task.get --task-id <taskId> --json`
until it is completed. Stop on failure or cancellation.
4. Resolve the completed file immediately before import:
```bash
flovart artifact.locate --task-id <taskId> --json
```
The result is a local path plus the verified MIME type, byte size, and
SHA-256. Use that path only for the immediate host import; do not write it
into project metadata.
5. Use a bounded Media Pool import operation exposed by the installed Resolve
native MCP. Do not add the fixture to the Timeline, replace a clip, delete
or overwrite media, or run unrestricted scripts. If the installed MCP has
no safe bounded import path, stop and report that concrete gap.
6. Re-read the Media Pool and Timeline through Resolve MCP. Confirm the item
appears in the Media Pool and the Timeline state is unchanged.
`runtime.test.fixture-image` imports the repository's fixed `public/favicon.png`
as a no-provider fixture. It verifies the local task-to-file handoff only; it
does not use the selected clip as a visual reference and is not AI generation.
Never describe it as a generated scene or as a completed real-host tracer until
Resolve visibly accepts the file and the Timeline comparison passes.
## Cold start — no project open
`workflow.inspect` returns `WORKSPACE_UNAVAILABLE` when the browser is
connected but no Workflow project is open. This is not a fatal stop: the task
usually still wants a project. Create and activate one, then inspect again:
```bash
npm run flovart:cli -- workflow.project.create --title "Product Video" --agent-identity codex --idempotency-key <key> --json
npm run flovart:cli -- workflow.project.use --project-id <project-id> --agent-identity codex --idempotency-key <key> --json
npm run flovart:cli -- workflow.inspect --agent-identity codex --json
```
`workflow.project.list` shows existing projects. Only stop for the user when
the browser itself is `offline` — not when the workspace is simply empty.
Every **write** command must carry the same `--agent-identity` used for
`inspect` plus a stable `--idempotency-key`. Passing identity only to `inspect`
and omitting it on `project.create`/`workflow.apply` makes the write fail with
`AGENT_HOST_REQUIRED` — the active Host writer must match the caller identity.
## Intent mapping
- “打开 Flovart” → `ensure`, then `workflow.inspect`.
- “查看当前 Workflow” → `workflow.inspect`.
- “当前选择” → `workflow.selection.get`.
- Add, delete, move, resize, connect, disconnect, or edit → one `workflow.apply`.
- Run a node → `workflow.node.run` after confirming the node from inspection.
For a sequence of nodes, the granular `workflow.node.create-connected` adapter
is the reliable path — it fills the node defaults (including `storageKey`) that
a bare `workflow.apply` `add_node` operation requires. Prefer it over a raw
`add_node` when you only have a type/title/position:
```bash
npm run flovart:cli -- workflow.node.create-connected --from-node-id <id> --type text --title "Shot 2" --x 420 --y 120 --agent-identity codex --idempotency-key <key> --json
```
The UI and Iris own Provider routing, credentials, cost confirmation,
resource resolution, and artifacts. Do not call a Provider directly, store
credentials, modify browser storage, use private routes, or create a second
Workflow runtime. A missing reference or unsupported input must remain an
explicit failure; never downgrade the requested media mode silently.
## Resolve host boundary
For DaVinci Resolve, use Resolve Studio's own native MCP for host context and
project operations; do not create or configure a second Resolve MCP server.
The current `flovart` CLI Workflow operations do not materialize a Runtime
artifact into a durable local file that Resolve can import. Do not infer a file
path from a task/artifact ID, call private Runtime endpoints, or report a Media
Pool import from the task result alone. Until an explicit artifact handoff path
is available and real-host verified, report this boundary clearly.
## Conversation rules
Talk to the user about the Workflow, not the machinery behind it.
- Never echo raw `projectId`, object IDs, `revision`, `mutationId`,
`idempotencyKey`, or JSON payloads back to the user. Say "the current
project" or use the node's title instead.
- Never explain internal mechanics — Host writer, lease, bridge, polling,
session recovery, or the MCP transport. Describe the visible result ("the
node is running"), not the mechanism.
- Pick reasonable defaults and keep moving: choose a sensible title,
position, and node type instead of asking. Ask the user only when the
request is genuinely ambiguous, spends credits, or destroys existing work.
- On failure, run `workflow.inspect` before retrying so the retry uses fresh
IDs and revision. Attempt at most one automatic recovery for the same
failure; if it fails again, report the error in user terms and stop.
- On timeout or lost contact, rejoin the same operation with the same
`idempotencyKey`/`mutationId`. Never resubmit a duplicate mutation under a
new key.
- Report results in user-facing terms only: what was added or changed on the
canvas, what is running, what finished. Surface a structured error code
only when the user must act on it.
Review the source
Price & running costs
- Get the skill
- Price unconfirmed
- Run it
- Requirements have not been confirmed. Check the source for agent, API and service charges.
- License
- MIT
- Price unconfirmed
- We have not confirmed a price for this skill. Existing source and install links remain available.
Free to get does not mean free to run. Price labels are not safety ratings. Submit pricing information →
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- AI review approval is missing
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Stars/forks activity: 138 stars, 34 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Review status: AI review approval is missing
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Start with one small task
- 1Read the source. Confirm the input, expected output, dependencies and permissions.
- 2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
- 3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Source & usage notes
IndexedStatic Checked
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
- Source repository
- avabbbb/Iris
- License
- MIT
- Version
- Unknown
- Last GitHub push
- Sep 28, 2026
- Registry updated
- Sep 28, 2026
- Instruction path
- .claude/skills/flovart/SKILL.md @ 8bf91714dee8
Version reported in registry metadata; check source releases before relying on it.
Quality
63/100
Promising
Trust
63/100
Sandbox only
Audit
75/100
Needs review
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- AI review approval is missing
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Stars/forks activity: 138 stars, 34 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Review status: AI review approval is missing
- Verified installs
- —
- Outcomes
- —
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.
Agent access
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
More details
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"avg_output_quality": null,
"production_outcomes": 0,
"last_outcome_at": null,
"label": "No agent outcome data yet"
},
"auto_install": {
"allowed": false,
"sandbox_required": true,
"reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"best_for": [
"research",
"agent-skill"
],
"known_risks": [
"AI review approval is missing",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"Stars/forks activity: 138 stars, 34 forks; issue activity unavailable in current metadata",
"Dependency/runtime risk: command execution surface, credential or environment access",
"Permission surface: secrets or environment access, shell or command execution",
"Review status: AI review approval is missing"
]
},
"agent_proven": {
"version": "agent-proven-v1",
"score": 0,
"tier": "unproven",
"label": "Needs first agent run",
"summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
"metrics": {
"totalOutcomes": 0,
"successfulOutcomes": 0,
"failedOutcomes": 0,
"installAttempts": 0,
"installSuccessRate": null,
"successRate": null,
"recentSuccessRate": null,
"recentFailureRate": null,
"riskBlocked": 0,
"setupRequired": 0,
"notRelevant": 0,
"avgOutputQuality": null,
"avgTimeToUsefulMs": null,
"productionOutcomes": 0,
"humanReviewRequired": 0,
"uniqueAgents": 0,
"lastOutcomeAt": null
},
"signals": [],
"penalties": [
"No real agent outcome evidence yet"
]
},
"audit": {
"score": 75,
"risk_level": "needs_review",
"risk_label": "Needs review",
"warnings": [
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"AI review approval is missing",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"Stars/forks activity: 138 stars, 34 forks; issue activity unavailable in current metadata",
"Dependency/runtime risk: command execution surface, credential or environment access",
"Permission surface: secrets or environment access, shell or command execution"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 63,
"label": "Promising"
},
"supply": {
"track": "Research and knowledge work",
"scenario": "RAG and knowledge",
"maintenance": "5d since push",
"risk": "Needs review"
},
"alternative_skills": [],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"high-compliance environments without internal security review",
"No major risk signals from current metadata",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"AI review approval is missing",
"Quality score needs review"
],
"agent_contract": {
"task_input": "Use flovart in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 71/100 Manual review",
"Audit: 75/100 Needs review",
"Safety: 27/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "avabbbb-flovart-c9647003 (flovart)",
"install_command": "npx skills add avabbbb/Iris --skill flovart",
"risk_summary": "Needs review; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "avabbbb-flovart-c9647003",
"task": "Use flovart in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/avabbbb-flovart-c9647003",
"api": "https://www.openagentskill.com/api/agent/skills/avabbbb-flovart-c9647003",
"audit": "https://www.openagentskill.com/skills/avabbbb-flovart-c9647003/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=avabbbb-flovart-c9647003&task=Use%20flovart%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20flovart%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20flovart%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/avabbbb-flovart-c9647003/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/avabbbb-flovart-c9647003"
}
}For the creator
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- Creator
- avabbbb
- Source
- avabbbb/Iris
- Indexed by
- OpenAgentSkill community index
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