agent-experience

agent-experience is a skill for Claude Code, Codex from TypeFox/agent-skills. It costs 179 tokens per session (5,813 once invoked), scanned A, original, MIT.

A repository-readiness workflow for coding agents. It organizes agent instructions and project memory, such as architecture notes, decision records, and execution plans, and sets up checks that can explain how to correct failures.

In plain words
What is it for?
Use it to audit or create AGENTS.md and CLAUDE.md files, document architecture and decisions, and connect verification checks with corrective guidance.
Why use it?
Coding agents repeatedly need to learn a repository from scratch; missing instructions can lead to invented commands or incorrect changes. This workflow makes the project easier for an agent to understand, verify, and modify safely.

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/typefox/agent-skills/agent-experience
Any agent
npx skills add TypeFox/agent-skills --skill agent-experience
Clone the repo
git clone --depth 1 https://github.com/TypeFox/agent-skills

Made for: Claude Code, 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 agent-experience

README.md
[![agentmods](https://agentmods.dev/badge/skills/typefox/agent-skills/agent-experience.svg)](https://agentmods.dev/skills/typefox/agent-skills/agent-experience)
Your own site
<a href="https://agentmods.dev/skills/typefox/agent-skills/agent-experience"><img src="https://agentmods.dev/badge/skills/typefox/agent-skills/agent-experience.svg" alt="Measured on agentmods" height="20"></a>
Per session 179 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,813 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 $0.00179 $0.05813
Opus 5 $0.00089 $0.02906
Sonnet 5 $0.00036 $0.01163
Haiku 4.5 $0.00018 $0.00581

Measured 4d ago against content hash 4d45070b7d28, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agent-experience 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 4d ago.

The scan reads SKILL.md. This mod also ships 28 executable files (evals/files/bloated-agents/scripts/gen_fixtures.py, evals/files/bloated-agents/shiftplan/__init__.py, evals/files/bloated-agents/shiftplan/payroll.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/agent-experience/SKILL.md · 173 lines

How it starts

The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Experience (AX)

AX is the experience AI agents have when working in a repository — how easily they can access, understand, verify, and safely change it. Two reframings drive everything in this skill. First, onboarding happens at the start of every task: a human onboards once, an agent re-onboards every session, so everything a new hire needs in week one, the agent needs in minute one, on every run. Second, hallucination is what inference looks like when context is missing: when an agent invents a build command or misuses an internal API, that is not a model defect to tolerate — it is an AX defect to fix.

The honest test — the single success criterion behind every artifact this skill produces: an agent given a real ticket, with no human help, reliably reaches a green verification suite and produces a diff a reviewer accepts. Optimize for that. Readiness checklists and scores are diagnostics for spotting neglect, never targets to maximize.

Vocabulary: write "AX" and "agent-ready" in everything you produce. When reading sources or searching the web, also recognize the synonyms: context engineering (the superset term — this skill is its repo-side slice), harness engineering (in its repo-side sense), agent readiness, agent legibility, ambient affordances. Generated artifacts never say "harness" — that word collides with the agent-runtime meaning.

The control system in brief

Treat the repo-side AX setup as a control system that regulates the codebase toward its desired state. Two control directions × two execution modes give a 2×2 that classifies everything you find or create:

Guides (feedforward — steer before the agent acts) Sensors (feedback — verify after it acts)
Computational (deterministic, fast, cheap — run on every change) one-command bootstrap, task-runner command surface, scaffolding, codemods, generated reference docs, deterministic dev env type checks, linters, tests + coverage, structural/dependency rules, mutation testing, secret scanners, the build
Inferential (LLM-run, semantic, costly — run at gates or on a schedule) AGENTS.md, skills, docs/, ADRs (architecture decision records — short, versioned docs capturing one decision, its context, and its consequences), specs, code-level discoverability review skills, modularity reviews, security/data reviews, doc-gardening, janitor/GC agents

Read the full file on GitHub · 173 lines

Files

What ships with it

60 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. 4d ago First seen · 173 lines · 179 tokens per session scan A 4d45070b7d28

Subscribe to this mod's changes

agent-experience is a skill published in the GitHub repository TypeFox/agent-skills (5 stars, last pushed 5d ago), licensed MIT. It adds 179 tokens to every session and 5,813 once invoked, about $0.0009 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.

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