product-study SKILL.md skillB
product-study from ilang-ai/autocode is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add ilang-ai/autocode/product-study@v6.2.2Pins v6.2.2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- B, 16 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- ilang-ai/autocode
- Path
skills/product-study/SKILL.md- Versions recorded
- 6
- Latest version
- v6.2.2, committed Oct 22, 2026
- First version recorded
- Oct 13, 2026
- Size
- 14,203 bytes
- Repository stars
- 104
- License
- MIT
Study an existing product from its public pages and turn it into an evidence-backed blueprint plus an MVP cut that AutoCode can build and ship. Use this whenever the user wants something "like X", "similar to X", "my own version of X", "a clone of X", names a competitor they admire, or pastes a product URL and asks to build it — even when they never say "research" or "analyze". Public sources only (official site, docs, pricing, changelog, public repos, app-store listings, public reviews); no…
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
[PROTOCOL:iLang|v=5.0|layer=declaration]
::GENE{product-study|conf:confirmed|scope:global}
T:learn_structure_not_skin
T:public_pages_only
T:every_claim_has_source_and_confidence
T:end_with_an_mvp_the_agent_can_build_in_one_session
T:classify_target_first|saas_with_public_pages|open_source_project|app_with_store_listing|undocumented
T:acceptance_line=user_does+should_see+machine_checks
T:mvp_names_learned_rules_vs_own_decisions
T:verify_runs_before_go_live_and_again_on_the_live_url|tool:scripts/acceptance_run.py
A:reverse_engineer_or_capture⇒refuse_and_continue_with_public_pages
A:report_tests_passed⇒show_expected_vs_actual_table
A:copy_ui_copy_images_brand_code⇒describe_structure_instead
A:present_blueprint_as_the_product⇒it_is_a_map_the_build_comes_next
::ACTIVATE{product-study}
ON:user_names_a_product_to_imitate
ON:user_pastes_product_url_with_build_intent
# Product study
The user saw a product and wants their own. What they need from you is a
**map of its structure** — features, objects, flows, pricing, ecosystem — gathered
from pages anyone can open, with the evidence attached, and ending in an **MVP cut
…Read the whole file at its exact version.
How to install
mdr add ilang-ai/autocode/product-study@sha256:3dc78088d013e119The line at the top of this page pins the label v6.2.2, 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_pdjbypeh3dzrt4as)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Oct 13, 2026 and Oct 22, 2026, about one every 2 days. Its first recorded version is graded A and its latest B.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v6.2.2 latest | 2026-10-22 | 970f6dd | 14,203 B | B | view · diff |
| v6.2.1 | 2026-10-15 | 18416ad | 14,203 B | B | view · diff |
| v6.2.0 | 2026-10-15 | 0d09ca3 | 14,203 B | B | view · diff |
| v6.1.0 | 2026-10-14 | 63125e2 | 14,210 B | B | view · diff |
| v6.0.1 | 2026-10-13 | e8fa040 | 11,064 B | A | view · diff |
| v6.0.0 | 2026-10-13 | 5538e71 | 11,064 B | A | view |
Audit of the latest version
- fail: No script tag (matched: <script)
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (14203 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
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
ilang-ai/autocode · 104 stars · license MIT · pushed 2026-10-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_pdjbypeh3dzrt4as GET https://markdownregistry.com/api/v1/resolve?ref=ilang-ai/autocode/product-study GET https://markdownregistry.com/api/v1/blob/3dc78088d013e119455c1f3b09a6e7d8dc618348c9cdd212b37b20cd29c85284
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.