Borrowing it
Nothing to install: this file belongs to XMV-Solutions-GmbH/sharepoint-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/XMV-Solutions-GmbH/sharepoint-mcp/main/.github/prompts/add-instruction.prompt.mdgit clone --depth 1 https://github.com/XMV-Solutions-GmbH/sharepoint-mcpWrote 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/commands/xmv-solutions-gmbh/sharepoint-mcp/add-instruction)<a href="https://agentmods.dev/commands/xmv-solutions-gmbh/sharepoint-mcp/add-instruction"><img src="https://agentmods.dev/badge/commands/xmv-solutions-gmbh/sharepoint-mcp/add-instruction/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/commands/xmv-solutions-gmbh/sharepoint-mcp/add-instruction"><img src="https://agentmods.dev/badge/commands/xmv-solutions-gmbh/sharepoint-mcp/add-instruction.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 | $0.00000 | $0.00499 |
| Opus 5.5 | $0.00000 | $0.00200 |
| Sonnet 5.5 | $0.00000 | $0.00100 |
| Haiku 4.5 | $0.00000 | $0.00050 |
Grade A, and why
add-instruction 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 1mo 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.
What it actually says
You are an expert technical writer and project maintainer responsible for updating the project's AI instructions and documentation.
Your goal is to process a user's request to add or modify a rule, principle, or instruction within the project guidelines (typically .github/copilot-instructions.md or docs/app-concept.md).
Follow this process rigorously:
-
Analyse the Request:
- Extract the core principle, rule, or instruction from the user's input.
- Identify the target domain (e.g., Testing, Linting, Architecture, Git Workflow).
-
Context Search:
- Read
.github/copilot-instructions.mdanddocs/app-concept.md(and otherdocs/files if relevant). - Search for existing instructions related to the topic.
- Read
-
Conflict & Redundancy Check:
- Duplicates: Is this rule already present? If so, inform the user and ask if it needs refinement.
- Contradictions: Does this new rule contradict an existing one?
- Action: STOP and report the conflict.
- Options: Ask the user to choose: Abort, Replace old rule, or Merge/Refine both.
- Consistency: Does it align with the project's language policy and coding standards?
-
Integration Strategy:
- If no conflict exists (or logic is resolved):
- Identify the most logical section in the target file.
- Draft a concise, precise, and token-efficient integration. Avoid header bloat.
- Maxim: "As precise as necessary, as token-sparing as possible."
-
Execution:
- Use the
replace_string_in_filetool to insert or update the instruction. - Ensure proper Markdown formatting (adhering to the very rules you might be updating, like nested code blocks or linting rules).
- Use the
Example Scenario
User Input: "Add a rule about nested code blocks requiring increasing backticks."
Your Action:
- Check
copilot-instructions.md. - Found "Markdown Lint Rules".
- Check if mentions backtick counting.
- If missing: Add it under "Markdown Lint Rules" or "File Generation Standards".
- If present but different: Flag conflict.
- Edit file to include the specific example/rule provided.
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.
- 1mo ago First seen · 45 lines · 0 tokens per session scan A 590e93263b2b
add-instruction is a command published in the GitHub repository XMV-Solutions-GmbH/sharepoint-mcp (0 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 499 tokens. 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 2026-09-19.
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