SKILLEMALL.ai

AB capgo-release-management

Runs Capgo OTA release operations with the CLI, including `bundle upload` (channels, delta, rollout, encryption, version bumps), `bundle compatibility` and `releaseType` checks, `channel add/set/promote/currentBundle/delete`, progressive rollouts and rollback, `bundle cleanup`, preview QR codes, and `key create/save` encryption setup. Use when the user ships, promotes, rolls back, or cleans up Capgo bundles, or hits upload errors such as "Version X already exists", "Bundle NOT compatible with <channel> channel", or "Cannot upload the same bundle content". Do not use for updater plugin wiring in app code (capgo-live-updates), native binaries (capgo-native-builds), or org/member administration (capgo-organization-management).

Cap-go/capgo-skills Agent Skills author: Cap-go 2 files body ≈ 2 005 tokens Open the sourcegithub.com↗ analyzed 8 h ago

Runs Capgo OTA release operations with the CLI, including bundle upload (channels, delta, rollout, encryption, version bumps), bundle compatibility and…

As a process B 66/100 · Nearly there — weak spots: result and completion, inputs and preconditions, progress reporting

IntegrationSecuritySoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
93
Run on models
none yet
Process rating
B
66/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: capgo-skills

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 66/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 100Steps. 28 steps
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2005 tokens
    • 100Running it twice. Mutating operations check current state
    • low The response is described with custom markup (10 tags): a typed call is more reliable

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +4Description says when NOT to use the skill
    • +3Description length 733: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 28 items
    • +4Has examples (4 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.