perform-feature-add-simulation

perform-feature-add-simulation is a skill for Claude Code from kunalsuri/ai-fication-kit. It costs 29 tokens per session (289 once invoked), scanned A, original, Apache-2.0.

A dry run of the workflow for adding a proposed feature, without writing code. It scores locating files, planning changes, verification, and updating the repository's AI documentation as smooth, friction, or blocked.

In plain words
What is it for?
Use it to identify target modules, review the safety status of files, decide which tests would prove the feature works, estimate context needed, and make a go or no-go decision.
Why use it?
It exposes missing maps, uncertain file ownership, absent tests, and other obstacles before implementation begins.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Good fit Use it to identify target modules, review the safety status of files, decide which tests would prove the feature works, estimate context needed, and make a go or no-go decision.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kunalsuri/ai-fication-kit/perform-feature-add-simulation
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.

Any agent
npx skills add kunalsuri/ai-fication-kit --skill perform-feature-add-simulation
Clone the repo
git clone --depth 1 https://github.com/kunalsuri/ai-fication-kit

Made for: Claude Code.

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 perform-feature-add-simulation

README.md
[![agentmods](https://agentmods.dev/badge/skills/kunalsuri/ai-fication-kit/perform-feature-add-simulation/github.svg)](https://agentmods.dev/skills/kunalsuri/ai-fication-kit/perform-feature-add-simulation)
Your own site
<a href="https://agentmods.dev/skills/kunalsuri/ai-fication-kit/perform-feature-add-simulation"><img src="https://agentmods.dev/badge/skills/kunalsuri/ai-fication-kit/perform-feature-add-simulation/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 perform-feature-add-simulation

Your own site · 80×15
<a href="https://agentmods.dev/skills/kunalsuri/ai-fication-kit/perform-feature-add-simulation"><img src="https://agentmods.dev/badge/skills/kunalsuri/ai-fication-kit/perform-feature-add-simulation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 289 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 $0.00029 $0.00289
Opus 5 $0.00015 $0.00144
Sonnet 5 $0.00006 $0.00058
Haiku 4.5 $0.00003 $0.00029

Measured 9d ago against content hash 05d20a0ed8a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

perform-feature-add-simulation 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 9d 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.

.claude/skills/perform-feature-add-simulation/SKILL.md · 25 lines

What it actually says

Simulate adding the feature the user names — WITHOUT writing a single line of code. This is a pre-flight check of both the plan and the knowledge layer.

Phases to walk (score each: smooth / friction / blocked)

  1. Locate — can MODULE_MAP + FEATURE_MAP/CATALOG identify the target modules without crawling? Name them.
  2. Plan — draft the touch list per layer; note Stability of every file you'd change. Any frozen or ? file ⇒ blocked pending human approval.
  3. Verify — which suites would prove it works; do they exist and are commands confirmed?
  4. Knowledge update — which ai/ files would need updating after the change?

Output

A friction report in chat (and, if asked, saved to ai/analysis/audit-reports/): per-phase score with the specific missing knowledge that caused friction, total estimated context cost, and a go / no-go recommendation. Knowledge gaps found here are the cheapest bugs you will ever fix — file each as an audit TODO.

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. 9d ago First seen · 25 lines · 29 tokens per session scan A 05d20a0ed8a7

Subscribe to this mod's changes

perform-feature-add-simulation is a skill published in the GitHub repository kunalsuri/ai-fication-kit (3 stars, last pushed 5d ago), licensed Apache-2.0. It adds 29 tokens to every session and 289 once invoked, about $0.0001 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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