dotPilot: Skill for Codex

.codex/skills/mcaf-security-baseline/SKILL.md

mcaf-security-baseline is a skill for Codex from managedcode/dotPilot. It costs 55 tokens per session (863 once invoked), scanned A, original, MIT.

A baseline set of software security practices for changes involving login permissions, secrets, data movement, external input, storage, transport, or build pipelines.

In plain words
What is it for?
Use it to review security-sensitive changes, map affected trust boundaries and data flows, check authentication and permissions, handle secrets, and verify pipeline or integration settings.
Why use it?
It helps developers spot security risks and choose safer defaults before they become implementation or deployment problems.

Skill for Codex

Written for Codex: installed under .codex/. Also seen: mentions AGENTS.md.

This is managedcode/dotPilot's own configuration. It tells Codex how to work on dotPilot 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 dotPilot configures →

Reuse

Borrowing it

Nothing to install: this file belongs to managedcode/dotPilot. 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/managedcode/dotPilot/main/.codex/skills/mcaf-security-baseline/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/managedcode/dotPilot

Made for: Codex.

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.

agentmods badge for mcaf-security-baseline

README.md
[![agentmods](https://agentmods.dev/badge/skills/managedcode/dotpilot/mcaf-security-baseline/github.svg)](https://agentmods.dev/skills/managedcode/dotpilot/mcaf-security-baseline)
Your own site
<a href="https://agentmods.dev/skills/managedcode/dotpilot/mcaf-security-baseline"><img src="https://agentmods.dev/badge/skills/managedcode/dotpilot/mcaf-security-baseline/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.

agentmods 80×15 button for mcaf-security-baseline

Your own site · 80×15
<a href="https://agentmods.dev/skills/managedcode/dotpilot/mcaf-security-baseline"><img src="https://agentmods.dev/badge/skills/managedcode/dotpilot/mcaf-security-baseline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 863 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00055 $0.00863
Opus 5.5 $0.00022 $0.00345
Sonnet 5.5 $0.00011 $0.00173
Haiku 4.5 $0.00006 $0.00086

Measured 1mo ago against content hash bdc4343ef459, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mcaf-security-baseline 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.codex/skills/mcaf-security-baseline/SKILL.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MCAF: Security Baseline

Trigger On

  • a change has security impact but does not need a full separate AppSec exercise
  • the work touches auth, secrets, trust boundaries, data flow, or pipeline permissions
  • the team needs secure-default guidance before implementing

Value

  • produce a concrete project delta: code, docs, config, tests, CI, or review artifact
  • reduce ambiguity through explicit planning, verification, and final validation skills
  • leave reusable project context so future tasks are faster and safer

Do Not Use For

  • a full standalone threat-modeling engagement
  • generic code review with no security surface

Inputs

  • the changed boundary, data flow, or integration
  • auth, secret, and permission model for the affected path
  • current security docs, ADRs, or CI rules

Quick Start

  1. Read the nearest AGENTS.md and confirm scope and constraints.
  2. Run this skill's Workflow through the Ralph Loop until outcomes are acceptable.
  3. Return the Required Result Format with concrete artifacts and verification evidence.

Workflow

  1. Identify the security surface:
    • authn and authz
    • secrets
    • external inputs
    • storage and transport
    • pipeline permissions
  2. Apply secure defaults and least privilege before adding behaviour.
  3. If the change introduces a trust boundary, update or add an ADR and link the reasoning.
  4. Pull the relevant security references, not the whole set.

Deliver

  • security-aware design or implementation guidance
  • updated security checkpoints in docs, ADRs, or CI
  • the right threat-model references for the impacted area

Validate

  • secrets are handled explicitly
  • authn and authz assumptions are visible
  • new trust boundaries are documented
  • the change does not smuggle insecure defaults into the repo

Ralph Loop

Use the Ralph Loop for every task, including docs, architecture, testing, and tooling work.

  1. Brainstorm first (mandatory):
    • analyze current state
    • define the problem, target outcome, constraints, and risks
    • generate options and think through trade-offs before committing
    • capture the recommended direction and open questions
  2. Plan second (mandatory):
    • write a detailed execution plan from the chosen direction
    • list final validation skills to run at the end, with order and reason
  3. Execute one planned step and produce a concrete delta.
  4. Review the result and capture findings with actionable next fixes.
  5. Apply fixes in small batches and rerun the relevant checks or review steps.
  6. Update the plan after each iteration.
  7. Repeat until outcomes are acceptable or only explicit exceptions remain.
  8. If a dependency is missing, bootstrap it or return status: not_applicable with explicit reason and fallback path.

Read the full file on GitHub · 103 lines

Files

What ships with it

3 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.

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. 1mo ago First seen · 103 lines · 55 tokens per session scan A bdc4343ef459

Subscribe to this mod's changes

mcaf-security-baseline is a skill published in the GitHub repository managedcode/dotPilot (25 stars, last pushed 6mo ago), licensed MIT. It adds 55 tokens to every session and 863 once invoked, about $0.0002 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 2026-08-30.

Related

Other skills, from other repositories

Research Synthesis Workflow

A step-by-step guide to synthesizing research from multiple sources into a coherent summary.

lofcz/LLMTornado · 22 tokens

node-inspect-debugger

See runtime state a console.log cannot reach — set real breakpoints, step, and dump the scope chain of a paused Node/TypeScript process. Use on "set a breakpoint", "inspect runtime state", "console.log isn't enough", "step through this", "what's in this closure at runtime", "attach a debugger". Not a logging or…

BlackBeltTechnology/pi-agent-dashboard · 83 tokens

performance-optimization

Measure-first performance work. Use on triggers like "it's slow", "profile this", "optimize perf", "fix the bottleneck", "improve load time / Core Web Vitals", or when a measured regression needs fixing. Enforces measure-before-optimize. Fills a perf gap not covered by existing project skills. Not a build/ship…

BlackBeltTechnology/pi-agent-dashboard · 77 tokens

systematic-debugging

Root-cause a bug already in front of you, instead of guessing at fixes. Use on triggers like "root cause this", "why is this failing", "debug systematically", "this test is flaky", "it works locally but not in CI", or when a fix attempt has already failed once. Enforces a phased evidence-first process before any code…

BlackBeltTechnology/pi-agent-dashboard · 86 tokens

code-quality

Drive static-analysis code quality in pi-agent-dashboard with Biome (analyze → fix → test), in changed-files or whole-repo mode. Use when asked to "improve code quality", "lint and fix", "clean up warnings", "fix Biome issues", "run static analysis", or when setting a code-quality goal. Skip for one-line edits.

BlackBeltTechnology/pi-agent-dashboard · 77 tokens

pi-dashboard-bootstrap

Make sure the local pi-dashboard server is running before any pi-dashboard action. Use FIRST whenever the user mentions the pi dashboard, pi sessions or pi agents, or asks to start/open the dashboard; also when a dashboard call fails with "connection refused".

BlackBeltTechnology/pi-agent-dashboard · 54 tokens