kdt_task_ki_candidate SKILL.md skillC

kdt_task_ki_candidate from lzwei196/kiss-knowledge-infrastructure-for-scientific-simulation is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add lzwei196/kiss-knowledge-infrastructure-for-scientific-simulation/kdt_task_ki_candidate@git:20260823.347ec25

Pins git:20260823.347ec25 in mdr.lock. Pin the fingerprint instead.

Audit grade
C, 14 of 17 checks passed
Kind
SKILL.md skill
Repository
lzwei196/kiss-knowledge-infrastructure-for-scientific-simulation
Path
kiss/tests/fixtures/kdt_task_ki_candidate/SKILL.md
Versions recorded
1
Latest version
git:20260823.347ec25, committed Aug 23, 2026
Size
677 bytes
Repository stars
190
License
MIT

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# MANDATORY EXECUTION POLICY

Use the real `tools/summarize_rainfall.py` workflow. Never replace it with a
mental calculation or claim an output that was not written. Validate inputs,
run the tool, inspect the output CSV, and report failures with their exact fix.

# Rainfall summary task KI

This KI turns a daily precipitation CSV into monthly totals. It is a task
workflow, not a physical process simulator.

## Workflow

1. Validate the input with [s1_input.md](docs/s1_input.md).
2. Run the aggregation with [s2_aggregate.md](docs/s2_aggregate.md).
3. Inspect and explain the result with [s3_validate.md](docs/s3_validate.md).

Public tool: `tools/summarize_rainfall.py`.

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add lzwei196/kiss-knowledge-infrastructure-for-scientific-simulation/kdt_task_ki_candidate@sha256:32de9eb71f1f3f72

The line at the top of this page pins the label git:20260823.347ec25, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_tghi3k6ovx7yz2g5.svg)](https://markdownregistry.com/a/art_tghi3k6ovx7yz2g5)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Aug 23, 2026.

versioncommittedcommitsizeaudit
git:20260823.347ec25 latest2026-08-23 347ec25 677 BC view

Audit of the latest version

C  14 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • fail: Frontmatter block present
  • fail: Frontmatter declares a name
  • fail: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (677 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.

Source

GitHub

lzwei196/kiss-knowledge-infrastructure-for-scientific-simulation · 190 stars · license MIT · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_tghi3k6ovx7yz2g5
GET https://markdownregistry.com/api/v1/resolve?ref=lzwei196/kiss-knowledge-infrastructure-for-scientific-simulation/kdt_task_ki_candidate
GET https://markdownregistry.com/api/v1/blob/32de9eb71f1f3f726d3546a66896992c9df9dcc1381a34e1413c1269ca593d8f

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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