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 sairam0424/MindForge --skill mindforge-plan-phasegit clone --depth 1 https://github.com/sairam0424/MindForgeWrote 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/sairam0424/mindforge/mindforge-plan-phase)<a href="https://agentmods.dev/skills/sairam0424/mindforge/mindforge-plan-phase"><img src="https://agentmods.dev/badge/skills/sairam0424/mindforge/mindforge-plan-phase/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/sairam0424/mindforge/mindforge-plan-phase"><img src="https://agentmods.dev/badge/skills/sairam0424/mindforge/mindforge-plan-phase.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00016 | $0.00399 |
| Opus 5 | $0.00008 | $0.00199 |
| Sonnet 5 | $0.00003 | $0.00080 |
| Haiku 4.5 | $0.00002 | $0.00040 |
Grade A, and why
mindforge-plan-phase 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 6d 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
Default flow: Research (if needed) → Plan → Verify → Done
Orchestrator role: Parse arguments, validate phase, research domain (unless skipped), spawn mindforge-planner, verify with mindforge-plan-checker, iterate until pass or max iterations, present results.
<execution_context> @.agent/workflows/mindforge-plan-phase.md @docs/References/ui-brand.md </execution_context>
Flags:
--research— Force re-research even if RESEARCH.md exists--skip-research— Skip research, go straight to planning--gaps— Gap closure mode (reads VERIFICATION.md, skips research)--skip-verify— Skip verification loop--prd <file>— Use a PRD/acceptance criteria file instead of discuss-phase. Parses requirements into CONTEXT.md automatically. Skips discuss-phase entirely.--reviews— Replan incorporating cross-AI review feedback from REVIEWS.md (produced by/mindforge-review)--ads— Use Adversarial Decision Synthesis (Architect vs Auditor) for high-fidelity planning--text— Use plain-text numbered lists instead of TUI menus (required for/rcremote sessions)
Normalize phase input in step 2 before any directory lookups.
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.
- 6d ago First seen · 39 lines · 16 tokens per session scan A 437018a82a6f
mindforge-plan-phase is a skill published in the GitHub repository sairam0424/MindForge (0 stars, last pushed today), licensed MIT. It adds 16 tokens to every session and 399 once invoked, about $0.0001 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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