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/joanseg/specmanagerWrote 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/commands/joanseg/specmanager/specmanager-board)<a href="https://agentmods.dev/commands/joanseg/specmanager/specmanager-board"><img src="https://agentmods.dev/badge/commands/joanseg/specmanager/specmanager-board/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/commands/joanseg/specmanager/specmanager-board"><img src="https://agentmods.dev/badge/commands/joanseg/specmanager/specmanager-board.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 | $0.00012 | $0.00167 |
| Opus 5.5 | $0.00005 | $0.00067 |
| Sonnet 5.5 | $0.00002 | $0.00033 |
| Haiku 4.5 | $0.00001 | $0.00017 |
Grade A, and why
specmanager-board 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.
What it actually says
Open the SpecManager kanban board.
Steps
- Call
open_board. It launches the user's default browser at the localhost URL where the board server is listening (e.g.http://127.0.0.1:4317). - If
open_boardreports the server is not running, suggest the user restart their Claude Code session — the MCP process boots the board server on startup. Report the URL anyway so the user can open it manually.
Don't
- Don't try to start a separate process or use
Bashto launch the browser. The MCP tool handles platform-specific opening (openon macOS,xdg-openon Linux,starton Windows).
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 · 15 lines · 12 tokens per session scan A a63ef0bc39f7
specmanager-board is a command published in the GitHub repository joanseg/specmanager (23 stars, last pushed today), licensed MIT. It adds 12 tokens to every session and 167 once invoked, about $0.0000 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 2026-08-30.
Other commands, from other repositories
implementation-plan
Define an incremental plan for the active task as IMPLEMENTATIONPLAN.md plus a TASKSTATE.md update: smallest safe slices with scope, validation and exit criteria. No code is written. A --spec mode derives slices from a spec or PRD. A retrofit mode annotates in-progress plans so they can adopt implement-fleet. Do not…
slice-closure
Decide whether the current slice is ready to close, separating slice completion from task completion, and record the result in slice notes and TASKSTATE.md. Use when a slice was implemented, validated or reviewed and may be ready to close. Do not use before slice implementation, during planning, or for overall task…
task-close
Close a whole finished task: verify the spec done-conditions, set TASKSTATE.md to its final closed state, and move the folder from active/ to archive/. Use when all slices are closed, the work is merged or explicitly waived, and the task is ending. Do not use for one slice (use slice-closure), unfinished work…
autonomous-run
Run one approved task in one supervised session with the direct-use reference dispatcher, delegating verifiable slices to existing commands and emitting PROPOSED diffs only and never creating commits or attestation refs. Use when a maintainer invokes Fhorja directly after approve-plan and a BOOT verdict from…
pr-feedback-ingest
Turn PR feedback (Greptile, CI, bots, humans) into a traceable backlog, so the next step is a narrow implement-approved-slice. Corrective scope only. Use when a PR has review feedback to map to files and slices. Do not use for a new direction or contract (use post-review-pivot), no payload, or task-memory drift only…
capture-observation
Append one observation, question, hypothesis, or concern to TASKSTATE.md as lean, append-only task memory, leaving other artifacts and work undisturbed. Use when something surfaces mid-work, a hypothesis needs logging, or a concern is too small for decision-interview or targeted-questions. Do not use for a decision…