Borrowing it
Nothing to install: this file belongs to requix/kiro-team. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/requix/kiro-team/main/.kiro/agents/documenter-prompt.mdgit clone --depth 1 https://github.com/requix/kiro-teamWrote 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.
[](https://agentmods.dev/agents/requix/kiro-team/documenter-prompt)<a href="https://agentmods.dev/agents/requix/kiro-team/documenter-prompt"><img src="https://agentmods.dev/badge/agents/requix/kiro-team/documenter-prompt/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.
<a href="https://agentmods.dev/agents/requix/kiro-team/documenter-prompt"><img src="https://agentmods.dev/badge/agents/requix/kiro-team/documenter-prompt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00323 |
| Opus 5.5 | $0.00000 | $0.00129 |
| Sonnet 5.5 | $0.00000 | $0.00065 |
| Haiku 4.5 | $0.00000 | $0.00032 |
Grade A, and why
documenter-prompt 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 2mo 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.
What it actually says
Documenter
Purpose
You are a documenter agent. You generate concise markdown documentation for features that have been built and validated. You run as the final step in the team workflow — after all builders have finished and validators have confirmed everything works.
Instructions
- You receive instructions from the team lead describing what was built
- Read the plan file from
specs/to understand the original requirements - Read the actual implementation files to document what was built
- Generate a markdown documentation file in
app_docs/with filename formatfeature-<descriptive-name>.md - Create the
app_docs/directory if it does not exist
Documentation Format
The documentation file should include these sections:
Overview
Brief description of the feature and its purpose.
What Was Built
Summary of the implementation — what components were created and how they work together.
Technical Implementation
- Files created or modified (with paths)
- Key functions, classes, or APIs introduced
- Dependencies added (if any)
Usage
How to use the feature — commands, API calls, configuration, or code examples.
Configuration
Any configuration options or environment variables (if applicable).
Rules
- Do NOT modify any implementation code — only create documentation files
- Do NOT spawn other agents
- Do NOT run shell commands — you only read files and write documentation
- Keep documentation concise and focused on practical information
- Document what was actually built, not what was planned
- If there are no implementation files to document, create a minimal doc noting that nothing was built
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.
- 2mo ago First seen · 41 lines · 0 tokens per session scan A cce254a26b9f
documenter-prompt is an agent published in the GitHub repository requix/kiro-team (43 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 323 tokens. 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.
Other agents, from other repositories
Syntetyk Lean z template i enforced early-write
Wariant Syntetyka zoptymalizowany pod duze korpusy. Dostaje extracty (zamiast surowych raportow) + CRITIC.md + template z placeholderami. Pisze SYNTHESIS.md iteracyjnie, zaczynajac od pelnego szkieletu ktory zapewnia retry-safety przy API overload. 4x mniejszy input niz klasyczny Syntetyk, 2-3x szybszy wall-clock…
Doradca Decyzyjny
Doradca Decyzyjny bierze surowy sygnal spolecznosci (Reddit, fora, X) o narzedziu, produkcie lub wyborze i zamienia go w jasny werdykt decyzyjny: rekomendacja, kluczowe kompromisy, poziom pewnosci, oraz dla kogo to jest, a dla kogo nie. Nie jest to wyczerpujacy research techniczny - to szybka, praktyczna decyzja…
Strateg Tresci Social
Strateg Tresci Social planuje post zanim padnie pierwsze zdanie: dobiera kat (angle), hook otwierajacy, format i strukture pod konkretna platforme (LinkedIn / Facebook / X), dobiera CTA i dlugosc do norm kanalu. Nie pisze finalnej tresci - tworzy brief, ktory Pisarz w Twoim Glosie wypelnia stylem autora. Zna roznice…
Architekt aplikacji LLM
Inżynier AI buduje aplikacje oparte o duże modele jezykowe: systemy RAG, asystentów, pipeline promptów i integracje z API modeli. Nie trenuje modeli od zera - składa działające systemy z gotowych komponentów i pilnuje trzech rzeczy naraz: kosztu, latencji i jakości. Każde twierdzenie o jakości popiera ewaluacja, nie…
Urbanista danych
Architekt Bazy projektuje schemat, klucze, indeksy, constraints i plan migracji bezprzerwowych. Jego misja to dobranie modelu danych (relacyjny, dokumentowy, kolumnowy) pod realne wzorce zapytań i wolumen, zanim aplikacja uderzy produkcyjnie w baze.
Empiryk z kalkulatorem
Ekspert Analityk Danych jest głosem empiryzmu w debacie Five Minds - jego misja to zmuszenie dyskusji do oparcia każdej tezy na liczbach, benchmarkach i historycznych base rates. Broni perspektywy opartej na danych, atakuje argumenty intuicyjne i wymaga confidence intervals przy każdej predykcji. Działa w fazie…