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/urrhb/agentflow/spec-to-boardnpx skills add UrRhb/agentflow --skill spec-to-boardgit clone --depth 1 https://github.com/UrRhb/agentflowWrote 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/urrhb/agentflow/spec-to-board)<a href="https://agentmods.dev/skills/urrhb/agentflow/spec-to-board"><img src="https://agentmods.dev/badge/skills/urrhb/agentflow/spec-to-board.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 | $0.00037 | $0.01292 |
| Opus 5 | $0.00018 | $0.00646 |
| Sonnet 5 | $0.00007 | $0.00258 |
| Haiku 4.5 | $0.00004 | $0.00129 |
Grade C, and why
spec-to-board scanned grade C with 2 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 5d 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
6. **Safety check**: All verification commands use only safe commands (npm, npx, node, curl localhost). No external URLs, no `rm -rf`, no `eval`, no `sudo`. Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
6. **Safety check**: All verification commands use only safe commands (npm, npx, node, curl localhost). No external URLs, no `rm -rf`, no `eval`, no `sudo`. Copies of this mod
1 near-identical copy found in the catalogue:
- spec-to-board — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/spec-to-board
Convert a product spec into a fully structured Kanban project board for the AgentFlow pipeline.
PM Tool Detection
This skill works with any supported PM tool. It detects which MCP is available:
- If Asana MCP connected: use Asana operations
- If GitHub Projects MCP connected: use GitHub Projects operations (future)
- If none: report error and suggest configuring MCP
The skill uses adapter-neutral language. See core/adapters/interface.md for mapping.
Prerequisites
Before running, you need:
- A SPEC.md file (or a product idea to brainstorm into one)
- Access to your PM tool's MCP integration (e.g., Asana MCP)
- The AgentFlow conventions: read
conventions.md
Process
Phase 1: Spec Acquisition
If a SPEC.md path is provided as argument, read it.
If no argument provided, ask the user:
- "What product/feature are you building?"
- Help create a SPEC.md
- Save to a
docs/specs/directory
Phase 2: Project Setup
-
Determine project code: Check conventions.md for existing codes. If new project, ask user for 3-letter code.
-
Read the project's file structure:
Glob: **/*.ts, **/*.tsx, **/*.js pattern in the project directoryThis gives predicted files context for decomposition.
-
Read package.json: Get current dependencies (needed for research trigger evaluation).
-
Select model cost profile: Ask the user: "Which Claude model will workers use? (sonnet/opus)" This sets the cost profile in conventions.md (affects cost ceilings and guardrails).
Phase 3: Decompose
Read the decomposition prompt: prompts/decompose.md
For each phase/section in the SPEC.md:
- Break into atomic tasks following the decomposition rules
- Map dependencies between tasks
- Evaluate research triggers per task
- Detect and resolve shared-file conflicts
Phase 4: Validate
Run the decomposition validator (from decompose.md) BEFORE creating anything in the PM tool:
- Rubric check: All 9 fields present per task
- Topological sort: No circular dependencies
- File conflict check: Parallel tasks don't share files
- Atomicity check: No task modifies > 5 files
- Verification command check: All commands are valid bash
- Safety check: All verification commands use only safe commands (npm, npx, node, curl localhost). No external URLs, no
rm -rf, noeval, nosudo.
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.
- 5d ago First seen · 173 lines · 37 tokens per session scan C 3d045c444ccf
spec-to-board is a skill published in the GitHub repository UrRhb/agentflow (4 stars, last pushed 5mo ago), licensed MIT. It adds 37 tokens to every session and 1,292 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 2 findings (recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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