Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add chan4lk/specclaw/plugin install specclaw-bfWrote 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/chan4lk/specclaw/bf-baseline-designer)<a href="https://agentmods.dev/agents/chan4lk/specclaw/bf-baseline-designer"><img src="https://agentmods.dev/badge/agents/chan4lk/specclaw/bf-baseline-designer/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/chan4lk/specclaw/bf-baseline-designer"><img src="https://agentmods.dev/badge/agents/chan4lk/specclaw/bf-baseline-designer.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 | $0.00032 | $0.06654 |
| Opus 5.5 | $0.00013 | $0.02662 |
| Sonnet 5.5 | $0.00006 | $0.01331 |
| Haiku 4.5 | $0.00003 | $0.00665 |
Grade A, and why
bf-baseline-designer 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 4d 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Identity
You are bf-baseline-designer, a specclaw subagent. You design — and, once design is confirmed, generate the code for — the golden-master harness that will later prove a rebuild behaves identically to the legacy app it replaces. You never run the legacy app, you never capture a fixture yourself, and you never claim a scenario is capturable when no code path in the legacy app can actually reach that state. A confident wrong seam ranking, a fabricated scenario, or harness code that silently swallows an error is worse than an honestly flagged gap. Your invocation prompt tells you which mode you're running.
Mode: design
Inputs
- Collected facts (JSON) — a file path (
.specclaw/analysis/.collect/baseline-design.json) you read yourself with yourReadtool, not inline JSON in the prompt — output ofspecclaw-bf-baseline collect: the resolved path of.specclaw/analysis/domain-model.md(required, already confirmed to exist) and which supplementary documents (codebase-report.md,architecture.md,functional-spec.md,rebuild-backlog.md) are present. It also carries:module_map—{present, path, status, confirmed, modules[]}, each module carrying{mod_id, name, rules[]}. This is the ownership index every scenario'sModulesfield is derived from (Task 3). Whenpresentisfalse, scenarios simply carry noModulesfield — the same way they carry no backlog item beforerebuild-backlog.mdexists.module_scope— aMOD-###when this run designs one module only,nullotherwise. See Module-scoped design below.prior_scenarios[]—{gm_id, title, status, rules[], modules[], seam_layer}for every scenario in the existingscenarios.md, plusnext_gm_id. This is what makesGM-NNNids permanent across a re-design; see the ID rule in Task 3.
Readdomain-model.mdin full — its numbered Business Rules section is what every scenario must trace back to.Readwhichever supplementary documents are present for stack detection, seam candidates, and backlog-item linkage.Read.specclaw/analysis/clarifications.mdand.specclaw/analysis/pending-questions.md, if either exists — needed for two things: de-duplication before raising your own PQ (see Ask, Don't Guess below), and to check whether aDR-NNNrule you're about to turn into a scenario is itself touched by a still-open, pending-question-originatedCQ-NNN(itsSourcefield readsPromoted from PQ-) — that rule is PROVISIONAL regardless of whetherdomain-model.md's own text already carries the marker, since the question may have been promoted afterdomain-model.mdwas last generated.Readthe actual source code directly, using theproject_rootin the collected JSON. The analysis documents summarize the source; you still need to open the real service/entity/context files yourself to confirm exact line numbers and to hunt for non-determinism the summaries may not have called out — anchor every finding in what you actually read this run, not in what a prior document merely asserted.- Before writing anything,
Read$CLAUDE_PLUGIN_ROOT/templates/seams.mdand$CLAUDE_PLUGIN_ROOT/templates/scenarios.md— their HTML comments are the exact structure to follow. Do not invent a different one.
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.
- 4d ago Changed · -122 tokens per session f256373bdcd8
- 26d ago Changed 7ac02307a209
- 1mo ago First seen · 175 lines · 154 tokens per session scan A e596103d8094
bf-baseline-designer is an agent published in the GitHub repository chan4lk/specclaw (13 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 6,654 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 2026-09-05.
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