downloadable-asset-engineering
Skill14 starsChanged 32 days agoMITView on GitHub
Builds and releases self-contained downloadable ZIP assets (skill packs, template kits, example projects, small local tools) so the released bytes, not just the source folder, are proven to work: deterministic packaging, a manifest and checksums, archive-safety checks, validators with negative fixtures, and honest PASS/BLOCKED/NOT RUN evidence. Use when someone says 'package this as a download', 'make a release zip', 'ship this kit', 'is this zip safe to publish', or when a lead magnet or skill bundle must install cleanly for a stranger. Bundled scripts are Python standard library only.
- Reads credentials
In this repository63 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
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- conversion-funnel-auditingSkill
- llms-txtSkill
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- website-designerSkill
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 6 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 14
Test each layer on its own.
- Distinctive: line 18
Write these as a short contract before building (ask for anything missing):
- Distinctive: line 32
Make it standalone: Every template, schema, example and script the promise depends on is inside the ZIP.
- Distinctive: line 57
Host tests, reported separately: If the asset runs inside Claude Code, Claude.ai or another app, test and record each of these on its own: …
- Distinctive: line 70
NOT RUN: no execution evidence.
- Distinctive: line 72
Never upgrade BLOCKED or NOT RUN to PASS.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Downloadable Asset Engineering
Ship a ZIP that works for a stranger, and prove it from the bytes you publish.
source folder != staged package != released ZIP != extracted installTest each layer on its own. Passing one never proves the next.
Inputs to pin down first
Write these as a short contract before building (ask for anything missing):
- Archive name and top-level folder name (for example
acme-skill-pack-1.2.0.zip/acme-skill-pack/). - Required file tree and where the version number lives.
- How it is installed (copy a folder, unzip into
~/.claude/skills/, npm, etc.). - The promise: what a user can do after installing. Anything not promised is out of scope.
- Data: only public, fictional or explicitly authorised content goes inside.
Steps
- Write the checks before the asset is "done". For anything executable (validators, builders), add one behavioural test, watch it fail for the right reason, implement, rerun, repeat. Good first tests: missing required file, malformed frontmatter, unsafe archive path, two builds identical.
- Make it standalone. Every template, schema, example and script the promise depends on is inside the ZIP. No hidden dependency on a paid service, private repo, credential or network call unless the promise says so.
- Package validator (write one per asset, keep it stdlib-only): required
tree, frontmatter fields, unique names, every referenced local path exists,
UTF-8, no symlinks, no machine paths (
/Users/,/home/<name>,C:\Users), no secret-looking strings. Report file and category only, never the value. - Build deterministically:
The builder sorts entries, fixes timestamps and permissions, dropspython scripts/build_zip.py ./my-kit dist/my-kit-1.0.0.zip --top my-kit python scripts/build_zip.py ./my-kit /tmp/rebuild.zip --top my-kit cmp dist/my-kit-1.0.0.zip /tmp/rebuild.zip && echo reproducible.git, caches,.DS_Store,.env*, old zips and symlinks, and writesMANIFEST.jsonplusSHA256SUMSinside the archive (neither lists itself). - Verify the released bytes:
Checks traversal, absolute paths, symlinks, duplicate and case-colliding names, single top folder, manifest and checksum agreement, then extracts and re-hashes.python scripts/verify_zip.py dist/my-kit-1.0.0.zip --sha256 <digest from build> --extract-to /tmp/fresh - Use the extracted copy, not the source. In
/tmp/fresh: rerun the package validator, run the included sample, follow the README install steps word for word on a clean path. - Host tests, reported separately. If the asset runs inside Claude Code, Claude.ai or another app, test and record each of these on its own: discovered/listed, explicit invocation works, automatic selection works, safe behaviour on missing or bad input, end-to-end output. A skill showing up in a list does not prove it runs.
- Write the release evidence using the template in
references/release-testing-and-evidence.md.
Evidence labels (use only these)
- PASS: the command reached the behaviour and the assertions held.
- EXPECTED FAIL: a deliberately bad fixture was rejected for the intended reason.
- BLOCKED: a prerequisite (auth, licence, host outage) stopped the test before the behaviour.
- NOT RUN: no execution evidence.
Never upgrade BLOCKED or NOT RUN to PASS. Finish every independent layer anyway and state the remaining gap at the top of the handoff.
Decision rules
- Two builds differ: find the nondeterministic input (timestamps in generated
files, unsorted globbing, a manifest written into the source) and fix it. Do
not publish until
cmpis silent. - Any file over ~5 MB: question it. Media in a first release needs a reason and a metadata scrub.
- The sample output is a golden file: it shows the expected shape, not proof that today's model produced it. Label it that way.
- A secret or personal detail found by the scan: remove it from the source, rebuild, re-verify. If it was ever published, treat it as leaked and rotate it.
Output
Deliver: the ZIP, its SHA-256 (published next to the download), and
RELEASE-EVIDENCE.md. Example summary line for the handoff:
my-kit-1.0.0.zip 18,432 bytes sha256 3f9a...c21e 14 entries
Reproducible: PASS (2 builds identical) Archive safety: PASS
Extracted sample: PASS Claude Code discovery: PASS Auto-selection: BLOCKED (no host auth)Pitfalls
- Calling "zip created" a release check.
- Validating the source sample but never the extracted copy.
- Builder machine paths leaking into docs or generated outputs.
- Leaving caches, debug output or old archives inside the ZIP.
- SHA-256 proves integrity against a trusted digest, not who made the file.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

