mcp_skill_provider: Instructions file for Codex

AGENTS.md

mcp_skill_provider AGENTS.md is an instructions file for Codex, OpenCode from ideabosque/mcp_skill_provider. It costs 700 tokens per session, scanned A, original, MIT.

Project instructions for mcp_skill_provider, a Python package that supplies skills and commands to an MCP server. MCP is a standard way for an AI agent to use tools provided by another program.

In plain words
What is it for?
Use them when changing or reviewing this package, its skill and command tools, its GraphQL connection, or its tests and formatting.
Why use it?
They give an agent the project basics, architecture, connection details, and code-style rules needed to work in the repository.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is ideabosque/mcp_skill_provider's own configuration. It tells Codex and OpenCode how to work on mcp_skill_provider itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything mcp_skill_provider configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/ideabosque/mcp_skill_provider/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/ideabosque/mcp_skill_provider

Made for: Codex, OpenCode.

Wrote 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.

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README.md
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Your own site
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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.

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<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>
Per session 700 This file is loaded in full into every session.
When invoked 700 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 2mo ago against content hash 274aa5f8cbf3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

AGENTS.md · 53 lines

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 (not humps) for decamelize — see pyproject.toml comment.

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 import harness_engineering_engine directly.
  • 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_handler decorator pattern: @handle_errors(operation_name="...") on every public method, with propagate_error_if_present() used to forward backend errors.

Read the full file on GitHub · 53 lines

Changes

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.

  1. 2mo ago Changed · +71 tokens per session 274aa5f8cbf3
  2. 2mo ago First seen · 53 lines · 629 tokens per session scan A 3ccf94617dc3

Subscribe to this mod's changes

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.

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