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parallel-monitor

Continuously track the web for changes on a recurring cadence. Use when the user asks to 'monitor', 'track changes to', 'watch', or 'alert me when' something on the web changes — e.g., 'Track price changes for iPhone 16', 'Alert me when Tesla files a new 8-K', 'Monitor competitor

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Prix non confirmé★ 78 Stars GitHubRegistre mis à jour · 6 oct. 2026agent-skill

Vue d’ensemble

Continuously track the web for changes on a recurring cadence. Use when the user asks to 'monitor', 'track changes to', 'watch', or 'alert me when' something on the web changes — e.g., 'Track price changes for iPhone 16', 'Alert me when Tesla files a new 8-K', 'Monitor competitor pricing pages weekly'. Also use to list, inspect, update, or stop existing monitors, including requests to delete them.

Lire la documentation complète

Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.

Web Monitor

Action: $ARGUMENTS

Requires parallel-cli ≥ 0.4.0 for the GA Monitor commands. If a Monitor command or option is missing, tell the user to update through their installation method (see https://docs.parallel.ai/integrations/cli), then retry.

What this skill does

Monitors are long-running, server-side jobs that re-check the web on a cadence and emit events when something changes. Unlike search/research/findall (one-shot lookups), monitors persist until cancelled and can optionally deliver detected events through a webhook. Creation does not establish an ongoing agent notification service: explain how to read server-side events or use the configured webhook, without promising chat or email alerts.

The default type is event_stream, with frequency 1d and server processor lite. A snapshot monitor requires an existing Task run ID. Create or modify only the resource requested by the user; do not create a monitor just to demonstrate the skill.

Decide the action

Parse the user's request and pick one:

IntentAction
"Track / watch / monitor / alert me when X"create
"What am I monitoring?" / "List monitors"list
"What changed?" / "Show me events for monitor X"events
"Show monitor X" / "Get details for X"get
"Change cadence / webhook for X"update
"Check monitor X now" / "Run it now"trigger
"Show me the full payload for event group X"events with --event-group-id
"Stop / delete monitor X"cancel (permanent; verify authority and exact ID)

Create a monitor

parallel-cli monitor create "<query>" --frequency 1d --json

Frequency accepts <n><unit> with h, d, or w (for example 1h, 1d, or 1w), within the supported range of 1 hour to 30 days. The aliases hourly, daily, weekly, and every_two_weeks are also accepted. Match cadence to the user's request and how often the source actually changes.

Optional flags:

  • --webhook https://example.com/hook — deliver detected events to a URL
  • --metadata '{"team":"competitive-intel"}' — attach JSON metadata for your own bookkeeping
  • --output-schema '<json>' — structure the event payload (advanced)

Capture the returned monitor_id immediately with the query, frequency and requested settings. Verify creation with get using that ID. Tell the user:

  • The monitor has been created with its ID
  • The frequency (so they know how often the monitor checks)
  • That recent events are available server-side — they can run parallel-cli monitor events $MONITOR_ID later to see what changed

If creation or another mutation times out or the response is lost, resolve the existing monitor/action before retrying. Resume with the saved ID, get and events; do not automatically recreate it. Recreating can duplicate persistent monitoring and billing.

List monitors

parallel-cli monitor list -n 10 --json

Default to -n 10 for concise output. list returns active monitors only by default; add --status active --status cancelled when the user asks to include cancelled monitors. Raise the limit only for a larger set. Present as a table: ID, query or Task Run (truncated), frequency, created.

Note: monitor list is sorted newest-first. If a user is verifying creation, prefer monitor get $MONITOR_ID (using the ID returned by create) over scanning the list.

View events for a monitor

parallel-cli monitor events "$MONITOR_ID" --json

Events are returned newest-first. If the response contains next_cursor, pass it with --cursor to retrieve another page.

An empty event list does not prove that a check completed without changes. To inspect completion history as well as detected events:

parallel-cli monitor events "$MONITOR_ID" --include-completions --limit 10 --json

Distinguish typed detected events, no-change completion events and error events. Use their actual timestamps and report failures. An empty completion history is not execution proof. Retain event_id and event_group_id when present; these identify events and executions, not monitor IDs.

For deeper detail on a specific event group:

parallel-cli monitor events "$MONITOR_ID" --event-group-id "$EVENT_GROUP_ID" --json

Event-group detail ignores pagination arguments. Summarize detected changes separately from completions/errors, with dates or timestamps. Read typed output or changed_output and available basis; cite its source URLs for factual claims. Do not invent provenance when the payload lacks basis. Surface response warnings and continue pagination only as needed for the requested period.

Get / update / trigger / cancel

parallel-cli monitor get "$MONITOR_ID" --json
parallel-cli monitor update "$MONITOR_ID" --frequency 1w --json
parallel-cli monitor update "$MONITOR_ID" --webhook https://example.com/hook --json
parallel-cli monitor trigger "$MONITOR_ID" --json
parallel-cli monitor cancel "$MONITOR_ID" --json

Only supply fields the user requested to update. A webhook-only update leaves frequency unchanged; update has no default frequency. Metadata and advanced event-stream settings can also be updated through the CLI, but query and Task run identity are immutable. A different query needs a new monitor with separate authority and a deliberate decision about the old monitor; do not silently recreate or cancel it.

trigger enqueues a real billed off-schedule execution without changing the regular schedule. It is not a synthetic webhook test and must not substitute for a request to test notification delivery. A successful trigger response confirms enqueueing, not completion. It emits a detected event only if material change is found; inspect completion history for no-change execution. Cancelled monitors cannot be triggered.

Cancellation is irreversible, not deletion or a temporary pause. Explain this and obtain confirmation for the exact monitor ID unless the user has already authorized that permanent cancellation or cleanup of the specific disposable monitor. After cancelling, verify its state with get. Never recreate it automatically to resume monitoring.

On authentication or API errors, report the actual error and retain IDs for recovery. Do not classify every error as an outdated CLI or every permission error as insufficient credit. Failed reads are not evidence that a monitor stopped; reading events does not cancel it.

Setup

Requires an installed and authenticated parallel-cli. Check parallel-cli --version and parallel-cli auth --json; auth can exit successfully while authenticated is false. Missing binary, unsupported command/option, and authentication failure need different remedies: installation, upgrade through the existing installation method, or terminal login respectively. See https://docs.parallel.ai/integrations/cli. Stop the affected request on auth failure, do not ask for secrets in chat, and do not change account policy to work around blocked setup.

Voir la source ↗
Métadonnées du fichier
name: parallel-monitor
description: "Continuously track the web for changes on a recurring cadence. Use when the user asks to 'monitor', 'track changes to', 'watch', or 'alert me when' something on the web changes — e.g., 'Track price changes for iPhone 16', 'Alert me when Tesla files a new 8-K', 'Monitor competitor pricing pages weekly'. Also use to list, inspect, update, or stop existing monitors, including requests to delete them."
user-invocable: true
argument-hint: <create|list|events|get|update|trigger|cancel> [args]
compatibility: Requires parallel-cli >= 0.4.0 and internet access.
allowed-tools: Bash(parallel-cli:*)
metadata:
  author: parallel
Voir le texte original
---
name: parallel-monitor
description: "Continuously track the web for changes on a recurring cadence. Use when the user asks to 'monitor', 'track changes to', 'watch', or 'alert me when' something on the web changes — e.g., 'Track price changes for iPhone 16', 'Alert me when Tesla files a new 8-K', 'Monitor competitor pricing pages weekly'. Also use to list, inspect, update, or stop existing monitors, including requests to delete them."
user-invocable: true
argument-hint: <create|list|events|get|update|trigger|cancel> [args]
compatibility: Requires parallel-cli >= 0.4.0 and internet access.
allowed-tools: Bash(parallel-cli:*)
metadata:
  author: parallel
---

# Web Monitor

Action: $ARGUMENTS

> Requires `parallel-cli` ≥ 0.4.0 for the GA Monitor commands. If a Monitor command or option is missing, tell the user to update through their installation method (see <https://docs.parallel.ai/integrations/cli>), then retry.

## What this skill does

Monitors are long-running, server-side jobs that re-check the web on a cadence and emit events when something changes. Unlike search/research/findall (one-shot lookups), monitors persist until cancelled and can optionally deliver detected events through a webhook. Creation does not establish an ongoing agent notification service: explain how to read server-side events or use the configured webhook, without promising chat or email alerts.

The default type is `event_stream`, with frequency `1d` and server processor `lite`. A `snapshot` monitor requires an existing Task run ID. Create or modify only the resource requested by the user; do not create a monitor just to demonstrate the skill.

## Decide the action

Parse the user's request and pick one:

| Intent | Action |
|---|---|
| "Track / watch / monitor / alert me when X" | **create** |
| "What am I monitoring?" / "List monitors" | **list** |
| "What changed?" / "Show me events for monitor X" | **events** |
| "Show monitor X" / "Get details for X" | **get** |
| "Change cadence / webhook for X" | **update** |
| "Check monitor X now" / "Run it now" | **trigger** |
| "Show me the full payload for event group X" | **events** with `--event-group-id` |
| "Stop / delete monitor X" | **cancel** (permanent; verify authority and exact ID) |

## Create a monitor

```bash
parallel-cli monitor create "<query>" --frequency 1d --json
```

Frequency accepts `<n><unit>` with `h`, `d`, or `w` (for example `1h`, `1d`, or `1w`), within the supported range of 1 hour to 30 days. The aliases `hourly`, `daily`, `weekly`, and `every_two_weeks` are also accepted. Match cadence to the user's request and how often the source actually changes.

Optional flags:

- `--webhook https://example.com/hook` — deliver detected events to a URL
- `--metadata '{"team":"competitive-intel"}'` — attach JSON metadata for your own bookkeeping
- `--output-schema '<json>'` — structure the event payload (advanced)

Capture the returned `monitor_id` immediately with the query, frequency and requested settings. Verify creation with `get` using that ID. Tell the user:

- The monitor has been created with its ID
- The frequency (so they know how often the monitor checks)
- That recent events are available server-side — they can run `parallel-cli monitor events $MONITOR_ID` later to see what changed

If creation or another mutation times out or the response is lost, resolve the existing monitor/action before retrying. Resume with the saved ID, `get` and `events`; do not automatically recreate it. Recreating can duplicate persistent monitoring and billing.

## List monitors

```bash
parallel-cli monitor list -n 10 --json
```

Default to `-n 10` for concise output. `list` returns active monitors only by default; add `--status active --status cancelled` when the user asks to include cancelled monitors. Raise the limit only for a larger set. Present as a table: ID, query or Task Run (truncated), frequency, created.

> Note: `monitor list` is sorted newest-first. If a user is verifying creation, prefer `monitor get $MONITOR_ID` (using the ID returned by create) over scanning the list.

## View events for a monitor

```bash
parallel-cli monitor events "$MONITOR_ID" --json
```

Events are returned newest-first. If the response contains `next_cursor`, pass it with `--cursor` to retrieve another page.

An empty event list does not prove that a check completed without changes. To inspect completion history as well as detected events:

```bash
parallel-cli monitor events "$MONITOR_ID" --include-completions --limit 10 --json
```

Distinguish typed detected events, no-change `completion` events and `error` events. Use their actual timestamps and report failures. An empty completion history is not execution proof. Retain `event_id` and `event_group_id` when present; these identify events and executions, not monitor IDs.

For deeper detail on a specific event group:

```bash
parallel-cli monitor events "$MONITOR_ID" --event-group-id "$EVENT_GROUP_ID" --json
```

Event-group detail ignores pagination arguments. Summarize detected changes separately from completions/errors, with dates or timestamps. Read typed `output` or `changed_output` and available `basis`; cite its source URLs for factual claims. Do not invent provenance when the payload lacks basis. Surface response warnings and continue pagination only as needed for the requested period.

## Get / update / trigger / cancel

```bash
parallel-cli monitor get "$MONITOR_ID" --json
parallel-cli monitor update "$MONITOR_ID" --frequency 1w --json
parallel-cli monitor update "$MONITOR_ID" --webhook https://example.com/hook --json
parallel-cli monitor trigger "$MONITOR_ID" --json
parallel-cli monitor cancel "$MONITOR_ID" --json
```

Only supply fields the user requested to update. A webhook-only update leaves frequency unchanged; update has no default frequency. Metadata and advanced event-stream settings can also be updated through the CLI, but query and Task run identity are immutable. A different query needs a new monitor with separate authority and a deliberate decision about the old monitor; do not silently recreate or cancel it.

`trigger` enqueues a real billed off-schedule execution without changing the regular schedule. It is not a synthetic webhook test and must not substitute for a request to test notification delivery. A successful trigger response confirms enqueueing, not completion. It emits a detected event only if material change is found; inspect completion history for no-change execution. Cancelled monitors cannot be triggered.

Cancellation is irreversible, not deletion or a temporary pause. Explain this and obtain confirmation for the exact monitor ID unless the user has already authorized that permanent cancellation or cleanup of the specific disposable monitor. After cancelling, verify its state with `get`. Never recreate it automatically to resume monitoring.

On authentication or API errors, report the actual error and retain IDs for recovery. Do not classify every error as an outdated CLI or every permission error as insufficient credit. Failed reads are not evidence that a monitor stopped; reading events does not cancel it.

## Setup

Requires an installed and authenticated `parallel-cli`. Check `parallel-cli --version` and `parallel-cli auth --json`; auth can exit successfully while `authenticated` is false. Missing binary, unsupported command/option, and authentication failure need different remedies: installation, upgrade through the existing installation method, or terminal login respectively. See <https://docs.parallel.ai/integrations/cli>. Stop the affected request on auth failure, do not ask for secrets in chat, and do not change account policy to work around blocked setup.

Examiner la source

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Réviser avant installation: Éviter l’installation automatique

Licence: MIT

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • SKILL.md does not explicitly instruct the agent to treat web-derived monitor event output as untrusted data, leaving room for prompt injection from monitored page content.
  • The skill does not include a permission/authorization note reminding the agent to only create monitors for content the user is authorized to track.
  • Command construction examples rely on shell quoting but do not mention avoiding direct interpolation of user-controlled queries into shell commands.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 78 GitHub stars
  • Stars/forks activity: 78 stars, 12 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
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Commencer par une petite tâche

  1. 1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
  2. 2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
  3. 3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

RépertoriéExaminé par IA

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source
parallel-web/parallel-agent-skills
Licence
MIT
Version
Unknown
Dernier push GitHub
5 oct. 2026
Registre mis à jour
6 oct. 2026
Chemin des instructions
skills/parallel-monitor/SKILL.md @ 92694a248ce4

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

65/100

Prometteur

Confiance

54/100

Do not auto-install

Audit

73/100

Revue nécessaire

Ouvrir l’audit completVoir le rapport d’évaluation
  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • SKILL.md does not explicitly instruct the agent to treat web-derived monitor event output as untrusted data, leaving room for prompt injection from monitored page content.
  • The skill does not include a permission/authorization note reminding the agent to only create monitors for content the user is authorized to track.
  • Command construction examples rely on shell quoting but do not mention avoiding direct interpolation of user-controlled queries into shell commands.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 78 GitHub stars
  • Stars/forks activity: 78 stars, 12 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
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      "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": [
      "other",
      "agent-skill"
    ],
    "known_risks": [
      "SKILL.md does not explicitly instruct the agent to treat web-derived monitor event output as untrusted data, leaving room for prompt injection from monitored page content.",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "GitHub adoption: 78 GitHub stars",
      "Stars/forks activity: 78 stars, 12 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"
    ]
  },
  "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": 73,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "Financial research output is not financial advice; require human review before any live investment decision",
      "SKILL.md does not explicitly instruct the agent to treat web-derived monitor event output as untrusted data, leaving room for prompt injection from monitored page content.",
      "The skill does not include a permission/authorization note reminding the agent to only create monitors for content the user is authorized to track.",
      "Command construction examples rely on shell quoting but do not mention avoiding direct interpolation of user-controlled queries into shell commands.",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Quality score needs review"
    ]
  },
  "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": 65,
    "label": "Promising"
  },
  "supply": {
    "track": "Research and knowledge work",
    "scenario": "Research",
    "maintenance": "8d since push",
    "risk": "Needs review"
  },
  "alternative_skills": [
    {
      "slug": "openclaw-mcporter",
      "name": "mcporter",
      "url": "https://www.openagentskill.com/skills/openclaw-mcporter",
      "stars": 391238,
      "install_command": "npx skills add openclaw/openclaw --skill mcporter",
      "trust_score": 79,
      "audit_score": 85
    },
    {
      "slug": "fission-ai-release-openspec",
      "name": "release-openspec",
      "url": "https://www.openagentskill.com/skills/fission-ai-release-openspec",
      "stars": 71049,
      "install_command": "npx skills add Fission-AI/OpenSpec --skill release-openspec",
      "trust_score": 82,
      "audit_score": 86
    },
    {
      "slug": "fission-ai-draft-openspec-docs",
      "name": "draft-openspec-docs",
      "url": "https://www.openagentskill.com/skills/fission-ai-draft-openspec-docs",
      "stars": 71049,
      "install_command": "npx skills add Fission-AI/OpenSpec --skill draft-openspec-docs",
      "trust_score": 86,
      "audit_score": 89
    }
  ],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "SKILL.md does not explicitly instruct the agent to treat web-derived monitor event output as untrusted data, leaving room for prompt injection from monitored page content.",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Financial research output is not financial advice; require human review before any live investment decision",
    "The skill does not include a permission/authorization note reminding the agent to only create monitors for content the user is authorized to track."
  ],
  "agent_contract": {
    "task_input": "Use parallel-monitor 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: 62/100 Manual review",
      "Audit: 73/100 Needs review",
      "Safety: 29/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "parallel-web-parallel-monitor (parallel-monitor)",
      "install_command": "npx skills add parallel-web/parallel-agent-skills --skill parallel-monitor",
      "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": "parallel-web-parallel-monitor",
      "task": "Use parallel-monitor 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/parallel-web-parallel-monitor",
    "api": "https://www.openagentskill.com/api/agent/skills/parallel-web-parallel-monitor",
    "audit": "https://www.openagentskill.com/skills/parallel-web-parallel-monitor/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=parallel-web-parallel-monitor&task=Use%20parallel-monitor%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20parallel-monitor%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20parallel-monitor%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/parallel-web-parallel-monitor/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/parallel-web-parallel-monitor"
  }
}

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Cette fiche a été indexée à partir de sources publiques et n’est pas marquée officielle tant qu’une revendication de mainteneur n’est pas approuvée.

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parallel
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Index communautaire OpenAgentSkill

L’attribution renvoie au dépôt public ou au profil du créateur. Les créateurs peuvent revendiquer la fiche pour mettre à jour les signaux de propriété.

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