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 apiiro/mcp-server --skill apiiro-mcp-secure-promptgit clone --depth 1 https://github.com/apiiro/mcp-serverWrote 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/apiiro/mcp-server/apiiro-mcp-secure-prompt)<a href="https://agentmods.dev/skills/apiiro/mcp-server/apiiro-mcp-secure-prompt"><img src="https://agentmods.dev/badge/skills/apiiro/mcp-server/apiiro-mcp-secure-prompt/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/apiiro/mcp-server/apiiro-mcp-secure-prompt"><img src="https://agentmods.dev/badge/skills/apiiro/mcp-server/apiiro-mcp-secure-prompt.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 | $0.00076 | $0.00831 |
| Opus 5 | $0.00038 | $0.00415 |
| Sonnet 5 | $0.00015 | $0.00166 |
| Haiku 4.5 | $0.00008 | $0.00083 |
Grade A, and why
apiiro-mcp-secure-prompt 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 11d 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apiiro Secure Prompt (MCP: apiiro_secure_prompt)
Enhance a coding prompt with security context through the Apiiro MCP tools. Relevant whenever you have Apiiro MCP configured in your environment (IDE, agent, or other MCP client).
Prerequisites
| Requirement | Notes |
|---|---|
| Apiiro MCP configured | MCP client is connected to an Apiiro MCP server; tools are available after a successful session. |
| Tool available | If apiiro_secure_prompt does not appear, the server may not expose that tool—check with your Apiiro administrator or deployment docs. |
| Auth | Follow whatever authentication your organization configured for that MCP server. |
Workflow (resolve key, then enhance)
apiiro_resolve_repository_key— Passrepository_name(optionalbranch,remote_url). Returns arepository_keystring or an error payload.apiiro_secure_prompt— Pass the original user task asdeveloper_prompt, therepository_keyfrom step 1, and optionallyfile_path(current file for scoped context).
If you already have a valid repository_key for the repo, skip step 1.
Resolve key with less ambiguity: When the repo might not match by name alone, pass remote_url from git remote get-url origin and the current branch from git branch --show-current.
Run in parallel with exploration: Do not block codebase reads or searches on the MCP call—invoke apiiro_secure_prompt (after you have or can cheaply obtain repository_key) alongside looking up relevant files, unless the task strictly depends on the enhanced text before any read.
Tool parameters
| Argument | Required | Purpose |
|---|---|---|
developer_prompt |
Yes | Verbatim coding task or feature request to enrich. |
repository_key |
Yes | From apiiro_resolve_repository_key, or an existing key for that repository. |
file_path |
No | File path string for tighter scope (e.g. the file being edited). |
Return value: On success, the enhanced prompt text (plain string). On failure, a structured error string from the MCP server.
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.
- 11d ago First seen · 56 lines · 76 tokens per session scan A 25b912c1de24
apiiro-mcp-secure-prompt is a skill published in the GitHub repository apiiro/mcp-server (4 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 76 tokens to every session and 831 once invoked, about $0.0004 per session on Opus 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.
Other skills, from other repositories
ai-safe2-secure-build-copilot
Apply AI SAFE2 v3.1 to design, build, audit, test, and govern AI agents, multi-agent systems, RAG, MCP/tool integrations, and AI infrastructure. Use the 161-control core taxonomy plus applicable profile overlays such as CP.5.MCP MCP-1 through MCP-19. Classify autonomy with ACT tiers, enforce HEAR and replication…
artifact-deploy
One-click deploy a user's pre-built app/artifact into their OWN AWS account and get a global public HTTPS link (Vercel-like), with a default TTL and promote-to-persistent. Use when the user says "deploy this", "ship this demo", "give me a public link", "share this externally", or "deploy to AWS".
explain-for
Explain a topic, a piece of code, an error, or a design decision calibrated to one named audience — a 5-year-old, a 5th grader, a manager, a designer, a graduate student, a parent. Resolves who the explanation is for (from the request, or from what memory already records about that person), establishes the ground…
papyrus-latex-suggestions
Propose actual inline replacement text (old → new) as accept/reject suggestions — LaTeX "suggesting mode" / track changes — that render directly in the PDF. Use when the author wants concrete edit proposals they can see and accept or reject. For remarks ABOUT the text (notes, not replacements), use…
mochi-remind
Handle due reminders — notify the user with natural language and mark them done.
agent-initialization
Initialize an Agent's settings from a user requirement by writing AGENTS.md, setting identity metadata, and installing only needed Skills.