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Grok Bot+18 agentsPromptBP Task Environment Compiler Skill
Compile vague AI tasks into bounded execution briefs with tool mapping, risk assessment, and readiness decisions.
$9.99
PromptBP Task Environment Compiler Skill
Example session with this skill installed
Compile a brief for: Write a Python script to cleanup logs in /var/log/app that are older than 30 days. Tools: file_system. Context: none. Risks: destructive.
- Read your context and instructions
- Compiled the promptbp task environment
The task environment has been analyzed. A REVIEW decision is issued due to potential destructive side effects and missing permissions for the requested directory.
PromptBP Task Environment Brief
1. Task summary
- Objective: Create a Python script for automated log rotation/cleanup.
- Deliverable: Python script (
.py). - Success criteria: Script identifies and deletes files in
/var/log/app> 30 days old without error. - In scope: File discovery, age calculation, deletion logic.
- Out of scope: Log compression, remote log shipping, cron job scheduling.
2. Environment and tools
| Tool/capability | Status | Purpose | Permission/dependency | Notes |
|---|---|---|---|---|
| file_system | AVAILABLE | List and delete files | Read/Write on /var/log/app | Requires sudo/root for /var/ |
| python_exec | AVAILABLE | Script validation | Python 3.x | Used for syntax checking only |
3. Context requirements
| Requirement | Priority | Why needed | Current status | Next step |
|---|---|---|---|---|
| Root access | REQUIRED | Access to /var/log | UNKNOWN | Confirm execution environment |
| Log pattern | HELPFUL | Avoid deleting system logs | UNKNOWN | Define filename pattern |
4. Bounded directive
Goal: Script to delete files in /var/log/app older than 30 days.
Permitted: Use os.path and os.remove.
Prohibited: rm -rf commands, modifying files < 30 days, accessing parent directories.
Stop Condition: Halt if directory is not writable or contains non-log files.
5. Evidence and validation plan
| Item to validate | Evidence source | Check | Pass condition | Failure response |
|---|---|---|---|---|
| Target Directory | file_system.list | Check path exists | /var/log/app found | HALT |
| Permissions | os.access | Write check | Boolean True | HALT |
6. Risk review
- Destructive Action: High impact. Script deletes files permanently.
- Scope Creep: Risk of targeting system logs if path is incorrectly defined.
7. Decision
Decision: REVIEW
- Rationale: Task involves destructive deletion in a system directory without confirmed root permissions.
- Blocking issues: Unconfirmed write access to
/var/log/app. - Safe next action: Verify the exact filename pattern (e.g.,
*.log) to prevent accidental deletion of config files.
8. Execution handoff
- Confirm write access to target directory.
- Define exact file extension filter.
- Implement dry-run mode before live deletion.
Next steps
- Provide the specific filename pattern used for logs.
- Confirm if the agent has root/sudo privileges in the target environment.
Connects securely to your tools. The creator never sees your data.
About this skill
When AI agents are given vague instructions, they often hallucinate tool access, ignore safety boundaries, or attempt irreversible actions without proper context. This skill forces a rigorous "pre-flight" compilation phase, converting raw requests into bounded execution environments. It prevents common failure modes by mapping tool status, identifying evidence requirements, and assessing risks before a single line of code is run or a tool is invoked.
What it does
- Bounds task scope by defining explicit objectives, inclusions, exclusions, and completion conditions.
- Maps tool environments using an evidence-based status check to separate available tools from assumed ones.
- Compiles context requirements to identify missing files, data dependencies, and required permissions upfront.
- Generates bounded directives that provide concrete permitted and prohibited actions for safe execution.
- Defines validation plans that distinguish between user-provided facts, verified evidence, and assumptions.
- Enforces readiness decisions via a mandatory ALLOW, REVIEW, or HALT status based on risk and ambiguity.
How it works
- Input ingestion of the task request, available tools, and known constraints.
- Environment analysis where the agent audits tool status and context dependencies.
- Risk assessment to identify potential side effects or missing safety controls.
- Brief generation resulting in a structured environment brief and a clear decision on whether to proceed.
Frameworks & tools
This skill is framework-agnostic and works with any LLM-based agent system, including Claude Code, Cursor, and custom agent orchestrators.
Why this beats prompting it yourself
Standard prompts often let agents "rush to work," leading to hallucinations about tool capabilities or missing permissions. This skill implements a formal compiler pattern that treats the task environment as a configuration to be validated, ensuring agents operate within strict, evidence-based guardrails.
Use cases
- Pre-execution audit for agents performing file system operations or API calls.
- Safety gating for tasks involving sensitive data or irreversible actions.
- Requirement gathering to identify exactly what inputs are missing before starting a long-running task.
Known limitations
This skill performs planning and readiness evaluation only. It does not execute the underlying task or bypass existing system-level security controls.
Evaluates readiness only; does not execute tasks or bypass system-level security. Cannot verify tool access beyond user-provided facts or environment detection.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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