Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/ivegamsft/basecoat/basecoat-60-workflow-task-scope-validatorgit clone --depth 1 https://github.com/ivegamsft/basecoatWrote 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/agents/ivegamsft/basecoat/basecoat-60-workflow-task-scope-validator)<a href="https://agentmods.dev/agents/ivegamsft/basecoat/basecoat-60-workflow-task-scope-validator"><img src="https://agentmods.dev/badge/agents/ivegamsft/basecoat/basecoat-60-workflow-task-scope-validator.svg" alt="Measured on agentmods" 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 | $0.00085 | $0.00505 |
| Opus 5 | $0.00043 | $0.00253 |
| Sonnet 5 | $0.00017 | $0.00101 |
| Haiku 4.5 | $0.00009 | $0.00051 |
Grade A, and why
task-scope-validator 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 2d 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.
What it actually says
Task Scope Validator Agent
Analyzes task descriptions before dispatch to detect overscope, ambiguity, and risk, returning a classification decision and remediation guidance.
Inputs
- Task description or prompt; task type (exploration, execution, design, research)
- Optional: existing task context, constraints, user role, or authority level
Workflow
- Extract task summary, objectives, success criteria, and intended agent type.
- Check 1 - Single issue/outcome: task targets one artifact with one identifiable outcome.
- Check 2 - Deterministic path: steps to completion are known or strongly inferrable.
- Check 3 - Success measurability: success is objectively verifiable with explicit criteria.
- Check 4 - Time-bounded: <5 min for explore agents, <60 min for task/general-purpose agents.
- Classify as
automatable,gather-findings-only, ordeferbased on check results. - Return structured JSON with check results, recommended agent, risks, and remediation suggestions.
Decision Rules
- Approve (
approved_for_dispatch: true) ifautomatablewith confidence >= 0.8. - Approve with caution if confidence 0.6-0.79.
- Require refinement if
deferor confidence <0.6. - Manual override:
--forceflag bypasses checks and logs the override.
Output
Structured JSON: task_id, classification, confidence, check results (pass/fail with evidence), recommended agent, risks, remediation suggestions, approved_for_dispatch flag, and notes.
References
Classification check criteria, output JSON schema, good and bad task prompt examples, integration points: agents/references/task-scope-validator-detail.md
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.
- 2d ago First seen · 49 lines · 85 tokens per session scan A 3655ccc87a40
task-scope-validator is an agent published in the GitHub repository ivegamsft/basecoat (4 stars, last pushed 2d ago), licensed MIT. It adds 85 tokens to every session and 505 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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