Investigate design rationale, regressions, or historical tradeoffs using cited evidence. Use how for runtime behavior.
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
# Why
Explain why a specific design or behavior exists. Separate recorded intent from inference; current code establishes behavior, not the author's motivation.
## Investigation
Anchor the question in the relevant symbols or change. Start with the strongest available lead: a supplied document, targeted history, the introducing PR, or its linked issue. Use bounded history queries before loading full patches.
Follow links or expand to another source when the answer has a material gap, evidence conflicts, or the user requests broader coverage. Available tools do not require searching every evidence category. Stop when the requested question is supported, or when remaining uncertainty has no useful accessible lead. An empty search means no result was found with that query, not that no record exists.
Use [source playbooks](references/source-playbook.md) for unfamiliar tools. Read only the relevant category. An incident investigation may also need [incident queries](references/sources/incident-postmortem.md); an ordinary guard or retry does not automatically require one.
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The line at the top of this page pins the label git:20260907.b1269d9, 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.
A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (2328 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
GitHub
shiwenbin1617/pstack · 4 stars · license a license file GitHub does not identify · pushed 2026-09-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_zubn2wfayom5nhkq
GET https://markdownregistry.com/api/v1/resolve?ref=shiwenbin1617/pstack/why
GET https://markdownregistry.com/api/v1/blob/036cf51c21019553316c9af5b30c1b22d200bf244ec35f4e437008de4cae91df
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.
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cursor/plugins · pstack/skills/why/SKILL.md · Use for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed…
nightly-labs/openbot · marketplace/production-catalog/bundles/pstack/skills/why/SKILL.md · Use for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed…
michael-denyer/pstack-claude · plugins/pstack/skills/why/SKILL.md · Use for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed…
backnotprop/pstack · skills/why/SKILL.md · Use for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed…
bastani-inc/atomic · packages/workflows/skills/why/SKILL.md · Use for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed…
millw14/merrymen · plugins/merrymen/skills/why/SKILL.md · Explain why the user's Merrymen trading agent has or hasn't traded, from its recorded state, blockers and recent…
iap/pstack-hermes · skills/why/SKILL.md · Use for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed…