BF delivery-mirror
Mirror cron/script deliveries into agent session transcripts so scheduled and isolated-cron messages persist in context. Session continuity, no core changes.
Mirror cron/script deliveries into agent session transcripts so scheduled and isolated-cron messages persist in context.
As a process F 42/100 · Will not run — References files that are not bundled: SECURITY.md
ProcedureTelegramSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
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: 0. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: SECURITY.md
Process rating: all ten parameters 42/100
Will not run. References files that are not bundled: SECURITY.md
- 0Tools and files. 1 referenced file(s) missing: SECURITY.md
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 100Steps. 12 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1814 tokens
- 100Running it twice. Mutating operations check current state
- 100Progress reporting. Reports progress
- low The response is described with custom markup (7 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
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -4Absolute local paths (C:\Users, /home/…): not portable
- +1No license
- +2Single-language instructions
- +3Description length 157: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 12 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.
External checks
ClawHub: clean
The inspected skill artifacts are coherent with their stated development, documentation, Convex, review, and ClawHub staff-workflow purposes, with no evidence of hidden or malicious behavior.
LLM: benign (high) · VirusTotal: · 24 Jun 2026