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 skills/hoangsonww/forge-agentic-coding-cli/plan-synthesizenpx skills add hoangsonww/Forge-Agentic-Coding-CLI --skill plan-synthesizegit clone --depth 1 https://github.com/hoangsonww/Forge-Agentic-Coding-CLIWhat 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 | $0.00040 | $0.00424 |
| Opus 5 | $0.00020 | $0.00212 |
| Sonnet 5 | $0.00008 | $0.00085 |
| Haiku 4.5 | $0.00004 | $0.00042 |
Grade A, and why
plan-synthesize 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 3d 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-synthesize — best-of-all-worlds
Feed competing plans into a single GPT Pro session and produce a hybrid that integrates the strongest ideas from every input.
Workflow
-
Pick a primary. Choose the best of the competing plans as your "base" — usually GPT Pro's. Its content gets the git-diff revisions applied to it.
-
Open the synthesis prompt. Read
.flywheel/prompts/plan-synthesize-best-of-all-worlds.md. Copy it into a fresh GPT Pro (web) conversation. -
Paste the base plan, then each competitor. Label each clearly.
-
Receive git-diff revisions. GPT Pro will produce a list of diff-style changes integrating the best ideas.
-
Apply in-place with Claude / Codex. Use the prompt in
.flywheel/prompts/plan-integrate-synthesis.md. The agent applies the diffs to.flywheel/plans/<date>-<slug>-gpt-pro.md(renaming it to-hybrid.mdis a good practice) and reports which revisions it wholeheartedly agrees with, somewhat agrees with, or disagrees with. -
Iterate. Use
.flywheel/prompts/plan-refine.mdin fresh GPT Pro conversations 4–5 more times until convergence. -
Sanity overshoot. Once per synthesis, run
.flywheel/prompts/overshoot-mismatch-hunt.mdto catch elements the model silently dropped.
Output
A single hybrid plan at
.flywheel/plans/<date>-<slug>-hybrid.md. This is the one you'll
feed into /plan-to-beads.
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.
- 3d ago First seen · 46 lines · 40 tokens per session scan A 36c78c7d0d80
plan-synthesize is a skill published in the GitHub repository hoangsonww/Forge-Agentic-Coding-CLI (22 stars, last pushed 17d ago), licensed MIT. It adds 40 tokens to every session and 424 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 2026-08-30.
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code-reviewer
Automatic code quality and best practices analysis. Use proactively when files are modified, saved, or committed. Analyzes code style, patterns, potential bugs, and security basics. Triggers on file changes, git diff, code edits, quality mentions.
git-commit-helper
Generate conventional commit messages automatically. Use when user runs git commit, stages changes, or asks for commit message help. Analyzes git diff to create clear, descriptive conventional commit messages. Triggers on git commit, staged changes, commit message requests.
test-generator
Automatically suggest tests for new functions and components. Use when new code is written, functions added, or user mentions testing. Creates test scaffolding with Jest, Vitest, Pytest patterns. Triggers on new functions, components, test requests, testing mentions.
api-documenter
Auto-generate API documentation from code and comments. Use when API endpoints change, or user mentions API docs. Creates OpenAPI/Swagger specs from code. Triggers on API file changes, documentation requests, endpoint additions.
readme-updater
Keep README files current with project changes. Use when project structure changes, features added, or setup instructions modified. Suggests README updates based on code changes. Triggers on significant project changes, new features, dependency changes.
dependency-auditor
Check dependencies for known vulnerabilities using npm audit, pip-audit, etc. Use when package.json or requirements.txt changes, or before deployments. Alerts on vulnerable dependencies. Triggers on dependency file changes, deployment prep, security mentions.