Install
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 Cognigy/cognigy-plugin --skill agent-creationgit clone --depth 1 https://github.com/Cognigy/cognigy-pluginWrote 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/cognigy/cognigy-plugin/agent-creation)<a href="https://agentmods.dev/skills/cognigy/cognigy-plugin/agent-creation"><img src="https://agentmods.dev/badge/skills/cognigy/cognigy-plugin/agent-creation/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/cognigy/cognigy-plugin/agent-creation"><img src="https://agentmods.dev/badge/skills/cognigy/cognigy-plugin/agent-creation.svg" alt="Reviewed on agentmods" width="80" height="20"></a> Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,503 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits How audits are shown
- NVIDIA SkillSpector warn
SkillSpector: 10 findings, up to medium
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 →
- medium Prompt Injection · line 59 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 59 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 61 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 61 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 67 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 67 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 69 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 72 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 73 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 74 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
Origin original No closer match found in the catalogue.
Token cost
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 | $0.00049 | $0.02503 |
| Opus 5.5 | $0.00020 | $0.01001 |
| Sonnet 5.5 | $0.00010 | $0.00501 |
| Haiku 4.5 | $0.00005 | $0.00250 |
Security
Grade A, and why
agent-creation 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 14d 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.
plugin/skills/agent-creation/SKILL.md · 130 lines
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Building a Cognigy AI Agent
Prerequisites
- A project (use list_resources { resourceType: "project" } to find one, or let create_ai_agent create one)
- A working LLM resource in the target project before testing the agent
Steps
- list_resources { resourceType: "project" } — inspect all projects
- Choose the target project
- If it already exists: use its projectId
- If the user wants a new project: call create_ai_agent without projectId, keep the returned projectId, and if llmStatus is "unknown" continue with the LLM reuse steps below before testing the agent
- Run list_resources { resourceType: "llm_model", projectId } — check whether the target project already has a reusable LLM with a non-empty connectionId
- If the target project has no reusable LLM, check the other projects for reusable LLMs
- Run list_resources { resourceType: "llm_model", projectId } for each other project
- Choose only candidates whose llm_model has a non-empty connectionId
- Do not treat an LLM without connectionId as a valid reuse candidate
- If another project already has a reusable LLM, transfer the required model set together with its connection resource(s):
- manage_packages { operation: "list_exportable", projectId: "" }
- If this workflow will use knowledge, identify the source project's exact Knowledge Search model and embedding model before exporting anything
- manage_packages { operation: "export", projectId: "", resourceIds: ["", "", ""], name: "llm-transfer" }
- manage_packages { operation: "upload_and_inspect", projectId: "", filePath: "" }
- manage_packages { operation: "import", projectId: "", packageId: "" }
- list_resources { resourceType: "llm_model", projectId: "" } — verify the required models are present before testing or continuing setup
- Only if no reusable LLM with connectionId exists, or the package transfer failed: setup_llm { projectId, provider: "openAI", modelType: "gpt-4o", apiKey }
- With isDefault: true (the default), agents auto-use this LLM — no extra step needed.
- Save the
referenceIdfrom the response if you need to assign it explicitly later. (See the llm-providers skill for valid provider/modelType values)
- create_ai_agent { projectId, name, description } — Returns: agent, flow, endpoint, endpointUrl — The default LLM is automatically assigned to the agent's job node. If llmStatus is "configured", no extra step is needed.
- (Only if llmStatus is "unknown" after create) Do not test yet. First repeat steps 4-6 for the returned projectId, then assign LLM to agent if needed: update_ai_agent { aiAgentId, jobConfig: { llmProviderReferenceId: "<referenceId from step 4 or 5>" } }
- Only after the project has a confirmed working LLM: talk_to_agent { endpointUrl, message }
- Refine the agent using update_ai_agent — see "All configuration fields" below
- Repeat 9-10 until satisfied
Changes
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.
- 14d ago Changed · +1 lines 5e499fcee709
- 1mo ago Changed · +1 lines b56ea7d705ac
- 1mo ago Changed · +11 lines a001a4f5a85c
- 2mo ago First seen · 117 lines · 49 tokens per session scan A 833f251be72e
agent-creation is a skill published in the GitHub repository Cognigy/cognigy-plugin (18 stars, last pushed yesterday), licensed MIT. It adds 49 tokens to every session and 2,503 once invoked, about $0.0002 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 2026-08-31.
Related
agent-creation compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agent-creationCognigy/cognigy-plugin | Skill | 18 | yesterday | MIT | A | 49 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |