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 package-managementgit 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/package-management)<a href="https://agentmods.dev/skills/cognigy/cognigy-plugin/package-management"><img src="https://agentmods.dev/badge/skills/cognigy/cognigy-plugin/package-management/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/package-management"><img src="https://agentmods.dev/badge/skills/cognigy/cognigy-plugin/package-management.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 | $0.00033 | $0.01584 |
| Opus 5.5 | $0.00013 | $0.00634 |
| Sonnet 5.5 | $0.00007 | $0.00317 |
| Haiku 4.5 | $0.00003 | $0.00158 |
Grade A, and why
package-management 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 25d 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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Package Management Guide
Use manage_packages to import and export Cognigy package .zip files.
Supported workflow
Transfer an LLM + connection between projects
Use this when the target project is missing an LLM but another project already has a working one.
manage_packages { operation: "list_exportable", projectId: "<sourceProjectId>" }- Identify BOTH the
largeLanguageModelresource ID and itsconnectionresource ID manage_packages { operation: "export", projectId: "<sourceProjectId>", resourceIds: ["<llmResourceId>", "<connectionResourceId>"], name: "llm-transfer" }manage_packages { operation: "upload_and_inspect", projectId: "<targetProjectId>", filePath: "<savedTo from export>" }manage_packages { operation: "import", projectId: "<targetProjectId>", packageId: "<packageId from upload_and_inspect>" }list_resources { resourceType: "llm_model", projectId: "<targetProjectId>" }to verify the imported LLM is available
Important:
- export BOTH the LLM and its connection together
- do not rely on a cross-project
connectionId; Cognigy connections are project-scoped - this workflow can be fully automated through the MCP tools
Discover exportable resources
manage_packages { operation: "list_exportable", projectId }- Review the returned resources and choose the IDs you want to package
manage_packages { operation: "export", projectId, resourceIds, name }
Import
manage_packages { operation: "upload_and_inspect", projectId, filePath }- Review the returned preview:
- importable resources
- conflicts
- locale mapping defaults
manage_packages { operation: "import", projectId, packageId, ... }- If needed, poll task status with:
manage_packages { operation: "read_task", projectId, taskId }
Export
manage_packages { operation: "export", projectId, resourceIds, name }- By default the archive is downloaded with MCP authentication and saved to a local temp file
- The response includes the exact file path, the containing directory path, and
file://URIs for both - Optionally control the destination by passing
outputPath - If needed, poll task status with:
manage_packages { operation: "read_task", projectId, taskId }
- Download an existing package later with:
manage_packages { operation: "download", projectId, packageId, outputPath? }
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.
- 25d ago Changed · +1 lines 882a99700921
- 2mo ago First seen · 208 lines · 33 tokens per session scan A 40c8a5d4850f
package-management is a skill published in the GitHub repository Cognigy/cognigy-plugin (18 stars, last pushed yesterday), licensed MIT. It adds 33 tokens to every session and 1,584 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 2026-08-31.
package-management compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| package-managementCognigy/cognigy-plugin | Skill | 18 | yesterday | MIT | A | 33 | 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 |