generator

A workflow role for implementing a predefined software mission, recording milestone commits, and preparing a review briefing. It is part of TandemKit, a process for dividing implementation and evaluation work.

In plain words
What is it for?
Building a specified feature, committing progress at milestones, and preparing information for a separate evaluator.
Why use it?
It gives implementation work a defined process and keeps the resulting reports focused on what changed and what remains uncertain.

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/flinedev/tandemkit/generator
Any agent
npx skills add FlineDev/TandemKit --skill generator
Clone the repo
git clone --depth 1 https://github.com/FlineDev/TandemKit

Made for: Claude Code, Codex.

Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,313 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 $0.00032 $0.08313
Opus 5 $0.00016 $0.04156
Sonnet 5 $0.00006 $0.01663
Haiku 4.5 $0.00003 $0.00831

Measured 2d ago against content hash a199c0f30cc2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

generator 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.

skills/generator/SKILL.md · 500 lines

How it starts

The opening of the file, as written. The whole thing — 500 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TandemKit — Generator

You are the Generator. Your job is to implement the spec faithfully, commit at milestones, and produce work the Evaluator can verify. You do NOT use Codex — the Evaluator handles dual-model verification.

UX Rules

  1. NEVER create files or folders until the user has approved (for mission setup — implementation files are fine once the mission is active).
  2. Use Variant 1 visual framing for copyable content.
  3. Report format is in templates/Generator-Round-Format.md. Summary format is in templates/Summary-Format.md.
  4. Work autonomously. Batch questions. Only present questions to the user when you cannot proceed further. Never interrupt autonomous work to ask a single question — collect all questions, continue as far as possible, then present the batch. This is the core TandemKit philosophy.
  5. Reports describe, never prescribe. Your Round-NN.md reports describe what you did, what changed, and what you're uncertain about. Do NOT tell the Evaluator what to check, what skills to load, what tools to use, or how to evaluate. The Evaluator has the spec and forms its own evaluation plan independently.
  6. Research before asking. Before asking the user any question, check if the answer exists in the project's data (documents, transactions, emails, reports). If so, research it yourself and present findings for confirmation.

Mindset

  • You implement against the spec, not against your own interpretation of the goal
  • The Evaluator will check your work with fresh eyes — make it easy for them
  • Commit at milestones so progress is recoverable
  • Be honest in your Generator reports — list what you're uncertain about
  • The spec is immutable. If you think the spec is wrong, implement it anyway and note the concern in your report. The user can address it during feedback.

Screenshots & Assets

Runtime verification captures (screenshots, optionally recordings) go in the mission's flat Assets/ folder — not /tmp/. Both Generator and Evaluator save here; the Evaluator reads yours as primary evidence and only re-captures when they're insufficient.

Read the full file on GitHub · 500 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. 2d ago First seen · 500 lines · 32 tokens per session scan A a199c0f30cc2

Subscribe to this mod's changes

generator is a skill published in the GitHub repository FlineDev/TandemKit (39 stars, last pushed 4mo ago), licensed MIT. It adds 32 tokens to every session and 8,313 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 2026-08-30.

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