think-linear-model-aggregation SKILL.md skillA
think-linear-model-aggregation from product-on-purpose/thinking-framework-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add product-on-purpose/thinking-framework-skills/think-linear-model-aggregation@v0.1.0Pins v0.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- product-on-purpose/thinking-framework-skills
- Path
skills/think-linear-model-aggregation/SKILL.md- Versions recorded
- 1
- Latest version
- v0.1.0, committed Jun 1, 2026
- Size
- 4,767 bytes
- Repository stars
- 25
- License
- Apache-2.0
Builds a simple mechanical scoring model - a few weighted predictive cues combined by a fixed formula and applied consistently - for a repeated predictive judgment, because consistent simple rules reliably match or beat holistic expert intuition. Use when the same kind of evaluative judgment recurs (screening candidates, scoring leads, triaging) and gut calls are inconsistent or overconfident.
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
<!-- thinking-framework-skills | https://github.com/product-on-purpose/thinking-framework-skills | Apache-2.0 --> # Linear-Model Aggregation For a judgment you make over and over - screening candidates, scoring leads, triaging tickets - holistic expert intuition is unreliable mainly because it is inconsistent: the same expert scores the same case differently on different days. A simple mechanical rule removes that: pick a few predictive cues, weight them (even equal weights work), score each case, combine by a fixed formula, and apply it identically every time. The robust, counterintuitive result is that such rules match or beat holistic judgment, because consistency beats brilliance applied erratically. The output is a **scoring model**. Two honest limits: it is for *repeated* judgments (not one-off strategic choices), and it is only as good as its cues. ## When to Use - The same kind of evaluative/predictive judgment recurs (screening, lead/deal scoring, triage, prioritizing a queue). - Gut calls on these are inconsistent or overconfident. - A few cues with real predictive signal exist. ## When NOT to Use …
Read the whole file at its exact version.
How to install
mdr add product-on-purpose/thinking-framework-skills/think-linear-model-aggregation@sha256:1c576d93334d381eThe line at the top of this page pins the label v0.1.0, 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.
[](https://markdownregistry.com/a/art_zg5h235gffwnf7wp)
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Versions
The registry has recorded 1 version of this file, committed on Jun 1, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4767 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
Source
product-on-purpose/thinking-framework-skills · 25 stars · license Apache-2.0 · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_zg5h235gffwnf7wp GET https://markdownregistry.com/api/v1/resolve?ref=product-on-purpose/thinking-framework-skills/think-linear-model-aggregation GET https://markdownregistry.com/api/v1/blob/1c576d93334d381ec769a80bd11a316181a0eb966318b8f1bc1d6b909c4b6548
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.