CF proactive-tasks
Proactive goal and task management system. Use when managing goals, breaking down projects into tasks, tracking progress, or working autonomously on objectives. Enables agents to work proactively during heartbeats, message humans with updates, and make progress without waiting for prompts.
As a process F 41/100 · Will not run — References files that are not bundled: references/CLI_REFERENCE.md
What is at stake
The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.
The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.
Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.
How to improve
- Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
- The text references files that are not there: add them or drop the references.
- 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 · 3
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high Dangerous commands
cmd-persistenceHEARTBEAT-CONFIG.md:90Persistence mechanism (cron / launchd / scheduled task / autorun registry)# /etc/cron.d/proactive-velocity-weekly
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high Dangerous commands
cmd-persistenceHEARTBEAT-CONFIG.md:111Persistence mechanism (cron / launchd / scheduled task / autorun registry)# /etc/cron.d/proactive-daily-reminder
Medium and low: 1
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low Dangerous commands
cmd-cron-mentionHEARTBEAT-CONFIG.md:239Mentions editing / listing crontabcrontab -l # Should show your heartbeat job
Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: references/CLI_REFERENCE.md
Process rating: all ten parameters 41/100
- 0Tools and files. 1 referenced file(s) missing: references/CLI_REFERENCE.md
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 9 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 55Failures and branches. 1 branches
- 85Steps. 77 steps, 1 vague phrases
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3903 tokens
- 100Progress reporting. Reports progress
- low 12 top-level sections: this looks like several domains in one skill
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
- -217 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 290: enough signal without eating the budget
- +4Structure: 38 headings
- +3Step-by-step instructions: 77 items
- +4Has examples (20 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.