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/swingerman/engineer/atddnpx skills add swingerman/engineer --skill atddgit clone --depth 1 https://github.com/swingerman/engineerWhat 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 | $0.00076 | $0.01170 |
| Opus 5 | $0.00038 | $0.00585 |
| Sonnet 5 | $0.00015 | $0.00234 |
| Haiku 4.5 | $0.00008 | $0.00117 |
Grade A, and why
atdd 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 2d 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
atdd
The DAE pipeline's Checkpoint 3 (Spec) entry point. AC discovery (Checkpoint 2,
discover-acs) decided what behaviors must work; this step formalizes them as
a standard-Gherkin spec.md and generates the project-specific test pipeline.
This skill is a thin bridge: the acceptance workflow itself lives in the
atdd plugin (atdd:atdd). engineer.atdd wraps it with the DAE checkpoint
contract — the entry gate in, the handoff out — so the acceptance pipeline is a
first-class checkpoint of the engineer pipeline rather than a separate detour.
Requires the atdd plugin. If it is not installed, tell the user to run
/plugin install atdd@disciplined-agentic-engineering and stop.
When to use
Checkpoint 3, after discover-acs (Checkpoint 2) has produced an approved
acs.md. Produces spec.md + the feature's .build/ pipeline.
Not for: AC discovery (discover-acs); planning (plan); using the
acceptance workflow outside a DAE feature folder (invoke atdd:atdd directly).
Workflow
Step 0 — Entry gate
Verify the prior checkpoint is complete: run
${CLAUDE_PLUGIN_ROOT}/scripts/dae_handoff.py <feature-dir> --through 2. On a
non-zero exit, stop and surface the gap to the human.
Verify branch hygiene: run ${CLAUDE_PLUGIN_ROOT}/scripts/dae_branch.py <feature-dir>.
On a non-zero exit, stop and surface the message to the human — switch
branches and re-invoke. The check honors the git.manual: true manifest
opt-out.
After the gate passes, show the pipeline breadcrumb: run
${CLAUDE_PLUGIN_ROOT}/scripts/dae_progress.py <feature-dir> and present its
output to the human — it shows where this checkpoint sits in the DAE pipeline.
The breadcrumb is advisory: a non-zero exit or a missing progress.md never
blocks the skill. Then create one TodoWrite todo per workflow step below. See
${CLAUDE_PLUGIN_ROOT}/references/progress-indicator.md.
Step 1 — Run the acceptance workflow
Invoke the atdd:atdd skill, scoped to this feature: write the feature's
spec.md in standard Gherkin from acs.md, then generate the test pipeline
(the pipeline-builder agent + the portable dae_gherkin.py parser). Present
spec.md to the human for approval — specs are the human's contract.
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.
- 2d ago First seen · 93 lines · 76 tokens per session scan A 656364a69409
atdd is a skill published in the GitHub repository swingerman/engineer (144 stars, last pushed 6d ago), licensed MIT. It adds 76 tokens to every session and 1,170 once invoked, about $0.0004 per session on Opus 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.
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