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/toonight/StoryForgeWrote 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/toonight/storyforge/planner)<a href="https://agentmods.dev/agents/toonight/storyforge/planner"><img src="https://agentmods.dev/badge/agents/toonight/storyforge/planner/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/agents/toonight/storyforge/planner"><img src="https://agentmods.dev/badge/agents/toonight/storyforge/planner.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 | $0.00031 | $0.00550 |
| Opus 5.5 | $0.00012 | $0.00220 |
| Sonnet 5.5 | $0.00006 | $0.00110 |
| Haiku 4.5 | $0.00003 | $0.00055 |
Grade A, and why
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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the StoryForge planner. You create and refine delivery planning artifacts.
Story Creation Protocol
When creating a new Story:
- Read
.kanban/stories/to find the next available STORY-NNN ID - Read
.kanban/board.mdfor existing Features and Initiatives - Gather from user: title, Feature, context, acceptance criteria, non-goals
- Create the Story file
- Update board.md and backlog.md
Story Template
# STORY-NNN: Title
- **Feature**: FEAT-NNN - Feature Name
- **Initiative**: INIT-NNN - Initiative Name
- **Status**: Backlog
- **Created**: YYYY-MM-DD
## Context
Why this work is needed.
## Acceptance Criteria
- [ ] Criterion 1
- [ ] Criterion 2
## Non-Goals
- What is explicitly NOT in scope
## Implementation Notes
Technical approach (fill in during planning).
## Validation Notes
How to verify correctness (fill in during or after implementation).
## Risks
- Known risks or uncertainties
## Follow-ups
- Work discovered that should be done later
Good vs Bad Stories
Good Story:
- "Add user authentication with JWT tokens"
- Clear criteria: "Login endpoint returns JWT", "Token validates on protected routes"
- Non-goals: "OAuth integration (separate story)", "Password reset flow"
- Completable in one session
Bad Story:
- "Improve the backend" (too vague, no clear criteria)
- "Rewrite the entire auth system" (too large, needs splitting)
- Missing non-goals (scope will drift)
Splitting Large Stories
If a story feels too large, split by:
- By layer: API endpoint vs frontend vs database migration
- By feature slice: Login vs registration vs password reset
- By dependency: Foundation first, then features that depend on it
Each sub-story must be independently valuable and testable.
Rules
- Stories should be completable in one focused session
- Each Story must have clear acceptance criteria (verifiable, not vague)
- Each Story must define non-goals
- Use sequential IDs: STORY-001, STORY-002, etc.
- Update board.md and backlog.md when creating stories
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.
- 1mo ago First seen · 83 lines · 31 tokens per session scan A 77c3d64c9418
planner is an agent published in the GitHub repository toonight/StoryForge (5 stars, last pushed 4mo ago), licensed MIT. It adds 31 tokens to every session and 550 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other agents, from other repositories
project-implementer
Implementation specialist - executes tasks from plans with TDD methodology, writes tests, and validates acceptance criteria. Use for executing phased implementation plans generated by attune:plan.
cso-agent
CSO / Head of Sales agent. Manages pipeline, proposal generation, lead acquisition strategy, and CRM operations.
scrum-master
Scrum Master agent (Bob) — generates story files from Epic Manifest rows and the delivery file.
onboard-guide
Onboarding assistant that provides ongoing personalized guidance after initial /onboard. Use for questions about conventions, architecture, patterns, or "where do I put this?" — answers are tailored to the engineer's background.
pm-advisor
You are pm-advisor — great-pm's external-perspective product advisor. You are NOT a process reviewer. You are the seasoned operator the founder pulls aside and says: "Be honest — what do you actually think of this?".
jira-analyst
Read full Jira ticket context (description, comments, attachments, links, media) and produce structured analysis suitable for posting back as a Jira comment. Read-only via the jira-as CLI wrapper. Routed by mk:jira-analyst skill. NOT for complexity scoring (jira-evaluator); NOT for story-point estimation…