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 agentmods add skills/managedcode/dotpilot/mcaf-security-baselinenpx skills add managedcode/dotPilot --skill mcaf-security-baselinegit clone --depth 1 https://github.com/managedcode/dotPilotWhat 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 | $0.00055 | $0.00863 |
| Opus 5 | $0.00028 | $0.00432 |
| Sonnet 5 | $0.00011 | $0.00173 |
| Haiku 4.5 | $0.00006 | $0.00086 |
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 2d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- mcaf-security-baseline — 97% identical, 21 lines differ
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
- Read the nearest
AGENTS.mdand confirm scope and constraints. - Run this skill's
Workflowthrough theRalph Loopuntil outcomes are acceptable. - Return the
Required Result Formatwith concrete artifacts and verification evidence.
Workflow
- Identify the security surface:
- authn and authz
- secrets
- external inputs
- storage and transport
- pipeline permissions
- Apply secure defaults and least privilege before adding behaviour.
- If the change introduces a trust boundary, update or add an ADR and link the reasoning.
- 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.
- 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
- 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
- Execute one planned step and produce a concrete delta.
- Review the result and capture findings with actionable next fixes.
- Apply fixes in small batches and rerun the relevant checks or review steps.
- Update the plan after each iteration.
- Repeat until outcomes are acceptable or only explicit exceptions remain.
- If a dependency is missing, bootstrap it or return
status: not_applicablewith explicit reason and fallback path.
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.
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.
- 2d ago First seen · 103 lines · 55 tokens per session scan A bdc4343ef459
mcaf-security-baseline is a skill published in the GitHub repository managedcode/dotPilot (23 stars, last pushed 4mo ago), licensed MIT. It adds 55 tokens to every session and 863 once invoked, about $0.0003 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 2026-08-30.
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