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 SAP/leanix-ai-plugins --skill fact-sheet-searchgit clone --depth 1 https://github.com/SAP/leanix-ai-pluginsWrote 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/sap/leanix-ai-plugins/fact-sheet-search)<a href="https://agentmods.dev/skills/sap/leanix-ai-plugins/fact-sheet-search"><img src="https://agentmods.dev/badge/skills/sap/leanix-ai-plugins/fact-sheet-search/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/sap/leanix-ai-plugins/fact-sheet-search"><img src="https://agentmods.dev/badge/skills/sap/leanix-ai-plugins/fact-sheet-search.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 | $0.00077 | $0.05165 |
| Opus 5.5 | $0.00031 | $0.02066 |
| Sonnet 5.5 | $0.00015 | $0.01033 |
| Haiku 4.5 | $0.00008 | $0.00517 |
Grade A, and why
fact-sheet-search 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 today.
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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scope
This skill routes fact-sheet questions. Tool mechanics belong to tool descriptions; workflow details belong to the reference files. Treat every type, relation, field, facet, enum, tag, role, and example key here or in references as an example shape until it is confirmed in the current workspace. For each answer, bind the actual workspace keys from mcp__leanix__get_workspace_context, targeted tool results, or GraphQL introspection before building GraphQL. Semantic search is candidate discovery only; for broad concept routing rows, load the focused reference and verify candidates structurally before answering.
Retrieval tools for this workflow are mcp__leanix__get_workspace_context, mcp__leanix__filter_inventory, mcp__leanix__search_inventory, mcp__leanix__search_users, mcp__leanix__execute_code, and load_leanix_skill_reference. This skill already names the retrieval tools. If a retrieval tool is directly available, call it directly; if it is hidden, load its schema by exact name. Do not call mcp__leanix__search_mcp_tools in this workflow: it searches for tools, not inventory data. Do not use it to rediscover these known retrieval tools or to look up fact-sheet names, concepts, data objects, users, fields, lifecycle, ownership, or geography. Never satisfy a mandatory/safeguard/no-op step by calling mcp__leanix__search_mcp_tools with queries like "noop", "irrelevant", or "mandatory tool call"; skip that step and continue with the exact workflow tool. Avoid deprecated inventory shortcuts.
API Access
Before any LeanIX tool call: if only
mcp__leanix__authenticateandmcp__leanix__complete_authenticationare available, tell the user to run/mcpand authenticate theleanixserver (browser opens automatically). Do NOT callauthenticateyourself or suggestclaude mcp add— the former returns a URL without triggering the browser flow (copy-paste UX), the latter would shadow the plugin's bundled server. If/mcpdoesn't surface tools after auth, treat it as a plugin bug.
What ships with it
13 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.
- references/completion-and-ranking.md 11 KB
- references/data-object-traversal.md 5.6 KB
- references/exact-name-and-brand-resolution.md 10 KB
- references/geography-and-usage.md 17 KB
- references/hierarchy-lookup.md 9.2 KB
- references/lifecycle-state.md 5.0 KB
- references/name-and-semantic-search.md 9.3 KB
- references/relation-aggregation.md 12 KB
- references/relation-edge-dates.md 8.3 KB
- references/relation-presence-and-empty.md 6.5 KB
- references/subscription-ownership.md 8.2 KB
- references/tags-and-archive.md 1.8 KB
- references/technology-category-filter.md 3.2 KB
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.
- today First seen · 126 lines · 77 tokens per session scan A 44ce19998adb
fact-sheet-search is a skill published in the GitHub repository SAP/leanix-ai-plugins (10 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 77 tokens to every session and 5,165 once invoked, about $0.0003 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 2026-11-07.
fact-sheet-search compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| fact-sheet-searchSAP/leanix-ai-plugins | Skill | 10 | 1mo ago | Apache-2.0 | A | 77 | Claude Code |
| ticktickabdulhamid-n/ticktick-mcp | Skill | 3 | 7mo ago | MIT | A | 104 | Claude Code |
| material-organizerOrkas-AI/Orkas | Skill | 9.0k | yesterday | MIT | A | 3 | Claude Code, Codex |
| gmailvellum-ai/vellum-assistant | Skill | 1.5k | 2d ago | MIT | A | 20 | Claude Code, Codex |
| notificationsvellum-ai/vellum-assistant | Skill | 1.5k | 2d ago | MIT | A | 9 | Claude Code, Codex |
| slacrawlmoltis-org/moltis | Skill | 2.9k | 14d ago | MIT | A | 41 | Claude Code, Codex |
| gmail-triggervellum-ai/vellum-assistant | Skill | 1.5k | 2d ago | MIT | A | 37 | Claude Code, Codex |