Borrowing it
Nothing to install: this file belongs to ideabosque/mcp_skill_provider. 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/ideabosque/mcp_skill_provider/main/AGENTS.mdgit clone --depth 1 https://github.com/ideabosque/mcp_skill_providerWrote 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/instructions/ideabosque/mcp_skill_provider/agents-md)<a href="https://agentmods.dev/instructions/ideabosque/mcp_skill_provider/agents-md"><img src="https://agentmods.dev/badge/instructions/ideabosque/mcp_skill_provider/agents-md/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/instructions/ideabosque/mcp_skill_provider/agents-md"><img src="https://agentmods.dev/badge/instructions/ideabosque/mcp_skill_provider/agents-md.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 | $0.00700 | $0.00700 |
| Opus 5.5 | $0.00280 | $0.00280 |
| Sonnet 5.5 | $0.00140 | $0.00140 |
| Haiku 4.5 | $0.00070 | $0.00070 |
Grade A, and why
mcp_skill_provider AGENTS.md 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 2mo 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Notes for mcp_skill_provider
Project Basics
- Python project managed via
pyproject.toml(setuptools backend). - Package name:
mcp_skill_provider. - No CLI entrypoint — installed as a package and loaded by
mcp_daemon_engine. - Dev dependencies:
pytest,black,ruff. - Uses
pyhumps(nothumps) fordecamelize— seepyproject.tomlcomment.
Architecture
mcp_skill_provider is a flat composition of mixins that expose Harness Engineering skill tools through mcp_daemon_engine.
mcp_skill_provider/
__init__.py # Exports MCPSkillProvider + MCP_CONFIGURATION
mcp_skill_provider.py # Facade class composing mixins
mcp_configuration.py # MCP_CONFIGURATION dict (tools + inputSchema)
graphql_client.py # GraphQLClient → HTTP/2 to harness_engineering_engine
graphql_backed_processor.py # Root base: logger, setting, graphql_client
skill_mixin.py # search_skills, get_skill
command_mixin.py # run_command
error_handler.py # Decorators + skill-specific ErrorCode constants
How it connects to mcp_daemon_engine
mcp_daemon_engine loads MCP modules via the loadMcpConfiguration GraphQL mutation. The MCP_CONFIGURATION dict declares:
- Module name:
mcp_skill_provider - Class:
mcp_skill_provider.mcp_skill_provider.MCPSkillProvider - Three functions:
search_skills,get_skill,run_command
GraphQLClient.execute_query() posts to the module's configured graphql_modules.harness_engineering_engine.endpoint with either a silvaengine_gateway JWT Bearer token (preferred) or x-api-key header. The graphql_modules key must match the real importable backend package name (harness_engineering_engine) — Graphql.get_graphql_schema() does a real importlib lookup on it, and class_name must be a bare attribute exported at that package's top level (HarnessEngineeringEngine), not a dotted path.
Code Style
- Follow SilvaEngine conventions:
__future__import,__author__ = "bibow"header, type hints. - All GraphQL calls go through
GraphQLClient.execute_query()— never importharness_engineering_enginedirectly. - Field names returned from GraphQL are camelCase; the mixins call
humps.decamelize()to normalize to snake_case before returning to the MCP caller. - Errors use the
error_handlerdecorator pattern:@handle_errors(operation_name="...")on every public method, withpropagate_error_if_present()used to forward backend errors.
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.
- 2mo ago Changed · +71 tokens per session 274aa5f8cbf3
- 2mo ago First seen · 53 lines · 629 tokens per session scan A 3ccf94617dc3
mcp_skill_provider AGENTS.md is an instructions file published in the GitHub repository ideabosque/mcp_skill_provider (0 stars, last pushed 2mo ago), licensed MIT. It adds 700 tokens to every session, about $0.0028 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.
mcp_skill_provider AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mcp_skill_provider AGENTS.mdideabosque/mcp_skill_provider | Instructions file | 0 | 2mo ago | MIT | A | 700 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,685 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |