claude-forge: Skill for Claude Code

.claude/skills/forge-skill-testing/SKILL.md

forge-skill-testing is a skill for Claude Code from ForgeyClap/claude-forge. It costs 47 tokens per session (1,397 once invoked), scanned A, original, MIT.

A test protocol for checking whether a Forge skill activates for the right requests and helps in a fresh session.

In plain words
What is it for?
It helps evaluate new or changed skills with trigger tests and controlled comparisons between sessions.
Why use it?
It reveals when a skill triggers on vague or unrelated wording, or fails to improve results after it activates.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is ForgeyClap/claude-forge's own configuration. It tells Claude Code how to work on claude-forge 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 claude-forge configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ForgeyClap/claude-forge. 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/ForgeyClap/claude-forge/main/.claude/skills/forge-skill-testing/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/ForgeyClap/claude-forge

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 forge-skill-testing

README.md
[![agentmods](https://agentmods.dev/badge/skills/forgeyclap/claude-forge/forge-skill-testing.svg)](https://agentmods.dev/skills/forgeyclap/claude-forge/forge-skill-testing)
Your own site
<a href="https://agentmods.dev/skills/forgeyclap/claude-forge/forge-skill-testing"><img src="https://agentmods.dev/badge/skills/forgeyclap/claude-forge/forge-skill-testing.svg" alt="Measured on agentmods" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,397 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 $0.00047 $0.01397
Opus 5 $0.00023 $0.00698
Sonnet 5 $0.00009 $0.00279
Haiku 4.5 $0.00005 $0.00140

Measured 4d ago against content hash 624076b1ebe2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

forge-skill-testing 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.

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/forge-skill-testing/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

forge-skill-testing — activation + A/B test protocol

Self-improvement substrate (wp-skill-evals, 2026-07-31): before applying this skill, read learnings.md in this skill's own folder and honor its corrections. After a run that produced a genuine correction, append it to learnings.md with a date and real evidence — never invent a lesson that didn't happen.

Origin (wp-disclosure-ab, backlog item 8, YT-SWEEP-2026-07-31, 4 source videos: 7s9Fnorg3eI, O_z9vDLgvoY, UtGszoiwrsQ, wQ0duoTeAAU): complementary to the description-length budget work (wp3b) — a short, well-formed description is step 1 (discovery), but nobody was measuring whether a skill actually activates on real phrasing, or whether it genuinely helps once it does. Community data cited in the sweep: activation drops to ~20% with vague descriptions, and this is essentially never measured in practice.

This is the CHECKLIST/PROTOCOL, not an automated runner. No script executes these steps — they are a human/agent-in-the-loop procedure, the same way forge-code-review's severity scale is a method, not a linter. Step 2 after forge-skill-evals.cjs's binary evals (see that tool's own header comment for the "step 1 -> step 2" pointer).

When to use

  • A skill's SKILL.md frontmatter description was just written or rewritten.
  • A skill's body changed enough that its trigger conditions may have shifted.
  • Skill Boss or Head Chef wants real evidence a skill is actually discoverable/useful, not just present.
  • NOT required for every trivial doc tweak (a typo fix, a one-line clarification) — use judgment; this protocol costs real runs (see part 2) and is opt-in per skill change, never a merge/ship gate.

Part 1 — Activation test (cheap, do this for every meaningfully-changed skill)

  1. Write 6+ trigger phrases — realistic things an owner/agent would actually type that SHOULD cause this skill to be selected/loaded. Use the skill's own "When to use" bullets and description as the source, but phrase them the way a real request sounds, not a copy of the description.
  2. Write 4+ near-miss phrases — realistic requests that sound adjacent but should NOT activate this specific skill (they belong to a sibling skill, or a different domain entirely). A near-miss that accidentally activates the skill is a real precision problem, not a pass.
  3. Run each phrase in a fresh session (or ask "would this skill fire on X?" against the current frontmatter honestly) and record activation Y/N per phrase.
  4. Target: >= 95% correct (trigger phrases activate AND near-miss phrases don't, combined). Below that, the description likely needs sharper "when to use" language — rewrite and re-test, don't just accept a low score.
  5. Log the result in .claude/FORGE_SKILL_REGISTRY.md — that table has no dedicated activation-test column (see its own legend), so append a compact, dated note to the skill's existing Safety notes cell in the exact shape activation <correct>/<total> (<YYYY-MM-DD>) (see the template below for a worked example). Never touch any other skill's row while doing this.

Read the full file on GitHub · 85 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. 4d ago First seen · 85 lines · 0 tokens per session scan A 624076b1ebe2

Subscribe to this mod's changes

forge-skill-testing is a skill published in the GitHub repository ForgeyClap/claude-forge (2 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 1,397 once invoked, about $0.0002 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 2026-09-03.

Related

Other skills, from other repositories

flame-harness-evaluator

Phase 6 — skeptical QA. Run the game, watch it, then judge against the contract. Default = functional check; --strict adds quality and edge-case passes.

tjdrhs90/flutter-flame-harness · 41 tokens

fabrik-validate

Use when operating as the Fabrik Validate stage agent. This skill guides final validation of an implementation, verifying requirements are met, tests pass, and the PR is ready to merge.

handarbeit/fabrik · 36 tokens

verify-implementation

A workflow that runs a project’s verification skills to produce a report on coding patterns, architecture rules, and project conventions. It is intended for work after implementation, before a pull request, or during code review.

sangrokjung/claude-forge · 37 tokens

agent-qa-testing

Agent davranis testi ve protokol uyumluluk dogrulamasi. Agent'larin tanimli rollerine uygun davranip davranmadigini assertion-based test'lerle olcer. Personality drift, role violation ve output kalite regresyonu tespit eder.

vibeeval/vibecosystem · 58 tokens

accessibility-a11y

WCAG 2.2 compliance, ARIA patterns, keyboard navigation, screen readers, automated testing.

travisjneuman/.claude · 26 tokens

vitest

Set up Vitest testing in any project — detects type (Cloudflare Workers, React, Node, library), generates vitest.config.ts, test setup, utilities, and a sample test. Covers mocking patterns, coverage config, workspace setup, Jest migration. Use whenever the user mentions adding tests, setting up Vitest, configuring…

jezweb/claude-skills · 87 tokens