Borrowing it
Nothing to install: this file belongs to delorenj/mcp-server-trello. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/delorenj/mcp-server-trello/main/.agent/skills/bmad-dev-auto/SKILL.mdgit clone --depth 1 https://github.com/delorenj/mcp-server-trelloWrote 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/delorenj/mcp-server-trello/bmad-dev-auto)<a href="https://agentmods.dev/skills/delorenj/mcp-server-trello/bmad-dev-auto"><img src="https://agentmods.dev/badge/skills/delorenj/mcp-server-trello/bmad-dev-auto/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/delorenj/mcp-server-trello/bmad-dev-auto"><img src="https://agentmods.dev/badge/skills/delorenj/mcp-server-trello/bmad-dev-auto.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 | $0.00019 | $0.01591 |
| Opus 5.5 | $0.00008 | $0.00636 |
| Sonnet 5.5 | $0.00004 | $0.00318 |
| Haiku 4.5 | $0.00002 | $0.00159 |
Grade A, and why
bmad-dev-auto 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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dev Auto Workflow
Goal: Turn intent into a hardened, reviewable artifact, without human interaction.
CRITICAL: If a step says "read fully and follow step-XX", you read and follow step-XX. No exceptions.
HALT
To HALT with a final status and optional blocking condition:
- Folder+id dispatch (
{spec_folder}and{story_id}are set): the write-back always lands at the id-keyed story spec. The{implementation_artifacts}fallback in step 2 below is never used in this mode, even for halts before planning starts.- If
{spec_file}is still empty, resolve it now:- Entry not resolved (
stories.yamlis missing/unparseable, or{story_id}has no matching entry): use the fixed slug segmentunresolved:{spec_file}={spec_folder}/stories/{story_id}-unresolved.md. - Ambiguous on-disk match (the halt is
ambiguous story file match— more than one file already matches{spec_folder}/stories/{story_id}-*.md): use the fixed slug segmentambiguousinstead of deriving from the title, so the write-back neither creates a third title-derived candidate nor risks silently landing on one of the existing ambiguous files:{spec_file}={spec_folder}/stories/{story_id}-ambiguous.md. - Otherwise (the entry was resolved and no ambiguous on-disk match exists): derive
{spec_file}={spec_folder}/stories/{story_id}-{slug}.md, where{slug}is a kebab-case slug fromtitle(anddescriptionif needed) with no{story_id}prefix — the same derivation step-01's Route uses.
- Entry not resolved (
- If
{spec_file}exists on disk, updatestatusin frontmatter and append missing result details under## Auto Run Result. - If it does not exist, create it as a skeletal story spec:
--- status: <final status> --- # <entry title, or "Story {story_id}" if the entry could not be resolved or the on-disk match was ambiguous> ## Auto Run Result Status: <final status> Blocking condition: <blocking condition, if any>
- If
- Otherwise:
- If
{spec_file}is known and exists, updatestatusin frontmatter and append missing result details under## Auto Run Result. - If
{spec_file}is unknown or missing, create{implementation_artifacts}/bmad-dev-auto-result-<slug-or-timestamp>.mdwith:--- status: <final status> --- # BMad Dev Auto Result Status: <final status> Blocking condition: <blocking condition, if any>
- If
- Run:
python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow.on_complete - If the resolved
workflow.on_completeis non-empty, follow it as the final instruction before exiting. - Stop the workflow.
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 124 lines · 19 tokens per session scan A 468d40aae3cf
bmad-dev-auto is a skill published in the GitHub repository delorenj/mcp-server-trello (446 stars, last pushed 7d ago), licensed MIT. It adds 19 tokens to every session and 1,591 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 2026-09-16.
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