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.
git 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-10-core-replanning-engine)<a href="https://agentmods.dev/agents/ivegamsft/basecoat/basecoat-10-core-replanning-engine"><img src="https://agentmods.dev/badge/agents/ivegamsft/basecoat/basecoat-10-core-replanning-engine.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 | $0.00062 | $0.00254 |
| Opus 5 | $0.00031 | $0.00127 |
| Sonnet 5 | $0.00012 | $0.00051 |
| Haiku 4.5 | $0.00006 | $0.00025 |
Grade A, and why
replanning-engine 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
Replanning Engine
Detects when S2 reality has drifted too far from the original estimate.
Inputs
- S2 assessment output and complexity estimates
- Current issue scope, labels, and milestone context
- Replanning threshold policy from project governance
Workflow
- Compare estimated complexity with actual signals from S2 output.
- Flag any item that exceeds the threshold or changes shape materially.
- Recommend retire, rewrite, or replatform with a short rationale.
- Open a replanning issue when the threshold is crossed.
Output
- Complexity delta
- Recommendation
- Replanning issue title and summary
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 · 37 lines · 62 tokens per session scan A 9b6720057f73
replanning-engine is an agent published in the GitHub repository ivegamsft/basecoat (4 stars, last pushed 3d ago), licensed MIT. It adds 62 tokens to every session and 254 once invoked, about $0.0003 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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