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 skills add ThiagoGuislotti/copilot-instructions --skill plan-active-work-plannergit clone --depth 1 https://github.com/ThiagoGuislotti/copilot-instructionsWrote 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/skills/thiagoguislotti/copilot-instructions/plan-active-work-planner)<a href="https://agentmods.dev/skills/thiagoguislotti/copilot-instructions/plan-active-work-planner"><img src="https://agentmods.dev/badge/skills/thiagoguislotti/copilot-instructions/plan-active-work-planner.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 | $0.00046 | $0.00279 |
| Opus 5 | $0.00023 | $0.00139 |
| Sonnet 5 | $0.00009 | $0.00056 |
| Haiku 4.5 | $0.00005 | $0.00028 |
Grade A, and why
plan-active-work-planner 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 7d 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
Plan Active Work Planner
Load context first
.github/AGENTS.md.github/copilot-instructions.md.github/instructions/super-agent.instructions.md.github/instructions/subagent-planning-workflow.instructions.mdplanning/README.md- Active spec from
planning/specs/active/when one exists
Claude-native execution
- Use
EnterPlanModebefore creating or editing plans. - Run as a
Planagent within the Super Agent pipeline.
Responsibilities
- Create or update the active plan under
planning/active/. - Reuse the existing active plan for the same workstream instead of creating duplicates.
- Consume and reference the current active spec.
- Define ordered tasks with target paths, explicit commands, and checkpoints.
- Identify expected generated outputs; keep non-versioned artifacts under
.build/or.temp/.
Output contract
- Plan path
- Ordered task list with target paths
- Validation commands per task
- Checkpoints
- Planning readiness confirmation
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.
- 7d ago First seen · 36 lines · 46 tokens per session scan A 0c26f7a3ebd8
plan-active-work-planner is a skill published in the GitHub repository ThiagoGuislotti/copilot-instructions (2 stars, last pushed 2mo ago), licensed MIT. It adds 46 tokens to every session and 279 once invoked, about $0.0002 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 2026-08-31.
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