Borrowing it
Nothing to install: this file belongs to web-casa/DeepSeek-Harness-Desktop. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/web-casa/DeepSeek-Harness-Desktop/main/.agents/skills/asc-submission-health/SKILL.mdgit clone --depth 1 https://github.com/web-casa/DeepSeek-Harness-DesktopWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/web-casa/deepseek-harness-desktop/asc-submission-health)<a href="https://agentmods.dev/skills/web-casa/deepseek-harness-desktop/asc-submission-health"><img src="https://agentmods.dev/badge/skills/web-casa/deepseek-harness-desktop/asc-submission-health/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/web-casa/deepseek-harness-desktop/asc-submission-health"><img src="https://agentmods.dev/badge/skills/web-casa/deepseek-harness-desktop/asc-submission-health.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00082 | $0.01664 |
| Opus 5 | $0.00041 | $0.00832 |
| Sonnet 5 | $0.00016 | $0.00333 |
| Haiku 4.5 | $0.00008 | $0.00166 |
Grade A, and why
asc-submission-health scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to asc-submission-health — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
App Store submission health
Use this skill to explain why a release cannot proceed and to manage an existing review submission. Hand healthy release execution back to asc-release-flow.
Ownership boundary
This skill owns:
- readiness validation and blocker diagnosis;
- public-API, web-session, and manual repair routing;
- review status and history;
- cancellation and retry decisions.
Do not stage, upload, publish, or submit a healthy release from this skill.
Answer order
- State whether the version is ready, blocked, or already under review.
- Name each blocker and the evidence that proves it.
- Separate public-API repairs from web-session and manual work.
- Give one next command. Do not dump the entire repair catalog.
Establish the target
- Resolve
APP_ID, the version string orVERSION_ID,BUILD_ID, platform, and any knownSUBMISSION_ID. - Configure auth with
asc auth loginorASC_*environment variables. - Use
ASC_BYPASS_KEYCHAIN=1only for repository tests and isolated verification, not normal user sessions. - Prefer IDs once the target is resolved; stop when app, version, or product resolution is ambiguous.
Diagnose readiness
Run the canonical readiness report first:
asc validate --app "APP_ID" --version "1.2.3" --platform IOS --output table
Use --version-id "VERSION_ID" when known. Add --strict when warnings must fail automation.
Ask the review-specific doctor for an ordered explanation:
asc review doctor --app "APP_ID" --version "1.2.3" --platform IOS --output table
Collect direct evidence when the report points at the build or version:
asc builds info --build-id "BUILD_ID" --output table
asc versions view --version-id "VERSION_ID" --include-build --include-submission --output table
For digital goods, run only the relevant product validator:
asc validate iap --app "APP_ID" --output table
asc validate subscriptions --app "APP_ID" --output table
Treat the ordered remediation plan from asc validate as the repair queue. Fix and verify one class of blocker before moving to the next.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 175 lines · 82 tokens per session scan A dfbc2d970edd
asc-submission-health is a skill published in the GitHub repository web-casa/DeepSeek-Harness-Desktop (121 stars, last pushed 7d ago), licensed MIT. It adds 82 tokens to every session and 1,664 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to asc-submission-health, differing in 4 lines, and is treated as a copy.
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