using-agentic-engineering

A routing guide for an Agentic Engineering documentation process. It checks project documents such as the requirements, technical specification, implementation plan, status file, and verification log, then directs work to the next appropriate step.

In plain words
What is it for?
Starting work in a project that follows this documentation process, checking project progress, and choosing the next documentation or engineering skill.
Why use it?
It removes uncertainty about what documentation already exists, where the project stands, and which process to follow next.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/affectionatec/agentic-engineering/using-agentic-engineering
Any agent
npx skills add affectionatec/agentic-engineering --skill using-agentic-engineering
Clone the repo
git clone --depth 1 https://github.com/affectionatec/agentic-engineering

Made for: Claude Code, Codex.

Per session 115 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 902 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00115 $0.00902
Opus 5 $0.00057 $0.00451
Sonnet 5 $0.00023 $0.00180
Haiku 4.5 $0.00012 $0.00090

Measured yesterday against content hash ca600b7b49db, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

using-agentic-engineering 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 yesterday.

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.

skills/using-agentic-engineering/SKILL.md · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Using Agentic Engineering — The Router

You are the router for the Agentic Engineering documentation chain. Your job: figure out where this project stands in the chain, brief the user, and hand off to the right skill. Do not start producing documents yourself — route.

Step 1: Assess the project

Check which chain documents exist (use file search/read tooling; adjust paths if AGENTS.md declares different ones):

Document Default path
AGENTS.md AGENTS.md (repo root)
PRD docs/prd.md
SPEC docs/spec/*.md
ADR docs/adr/ADR-*.md
IMPL PLAN docs/plans/implementation-plan.md
STATUS docs/status.md
VERIFICATION LOG docs/verification-log.md

If AGENTS.md exists, read it first — it is the single source of truth and may override everything below.

If docs/status.md exists, read it: check the In-Flight Checkpoint (a non-none value means the last session crashed — recovery is the first priority) and the latest handoff log entry.

Step 2: Report the position

Present a compact table: each chain document, whether it exists, and its state (e.g., SPEC count, last STATUS entry date, open task from the latest handoff). Three to five lines of prose maximum around it — this is a briefing, not an essay.

Step 3: Route

Recommend exactly one next move, based on the first gap in the chain:

Situation Route to
Substantial existing codebase, but no/partial chain docs existing-project-onboarding — reverse-engineer the as-built chain first (it bootstraps AGENTS.md too)
No AGENTS.md (little or no code yet) agents-md-template — bootstrap the single source of truth first
No PRD and the user has a rough idea project-kickoff-prd — phased dialogue to a prioritized PRD
PRD exists, no specs for the target scope technical-specification — harden the PRD into contracts
A decision fork is on the table ("X or Y?") architecture-decision-record — capture it before it evaporates
Specs approved, no implementation plan implementation-plan — dependency-ordered atomic tasks
Plan exists and a session is starting status-tracker — read the briefing, pick the next unblocked task
Code work is starting, or a built task needs to ship git-workflow — branch per task, draft PR carrying the done condition
A task claims completion / anything sits at 🔍 independent-verification — a fresh-context verdict (bundled verifier sub-agent where available)
A conversation decision makes a chain doc stale, or the user proposes a new feature / scope change documentation-maintenance — flag the drift, propose the gated update, route the change through the chain
In-Flight Checkpoint is not none status-tracker — crash recovery from the checkpoint
The user wants multiple tasks run unattended run-loop — the chain-aware loop driver (verify-gated, never merges)

Read the full file on GitHub · 54 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. yesterday First seen · 54 lines · 115 tokens per session scan A ca600b7b49db

Subscribe to this mod's changes

using-agentic-engineering is a skill published in the GitHub repository affectionatec/agentic-engineering (4 stars, last pushed 2mo ago), licensed MIT. It adds 115 tokens to every session and 902 once invoked, about $0.0006 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 2026-08-31.