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/fixnpx skills add swingerman/engineer --skill fixgit 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 | $0.00100 | $0.02770 |
| Opus 5 | $0.00050 | $0.01385 |
| Sonnet 5 | $0.00020 | $0.00554 |
| Haiku 4.5 | $0.00010 | $0.00277 |
Grade A, and why
fix 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
fix
The defect unit-of-work — parallel to "feature" in the DAE pipeline. Tracks a bug from first report through a regression spec, code fix, hardening, and a structured retrospective that feeds back into the methodology.
Unlike ad-hoc fixes, the fix workflow enforces a regression spec that must be RED on current code before any change, and closes the loop with a "why didn't we catch it?" gap analysis tied to a closed category vocabulary. That loop is the methodology contribution: bugs become methodology feedback, not just patches.
When to use
- A bug report arrives (user report, Sentry alert, stack trace, regression in CI).
- A defect needs a repeatable reproduction path and a tracked fix.
- A regression must be proven to stay fixed (mutation gate).
Not for: building a new capability (/engineer.discuss or /engineer.feature-init); adjusting an in-flight feature's scope (/engineer.feature-edit); reviewing recent changes without a defect (/engineer.verify or /crap-analyzer).
Workflow
Infra contract. Any step that runs tests, mutations, or the regression spec MUST first ensure required infra is up via ${CLAUDE_PLUGIN_ROOT}/scripts/dae_infra.py ensure <names> (reading the manifest's infra: section). On a start-failed failure → stop and surface the structured diagnosis. On undeclared required infra → stop with "declare in manifest" message. This applies to Steps 3, 4, 7.
Quirks contract. Before booting infra or running test commands, consult manifest.infra_quirks: apply runtime_pins (e.g. ensure JAVA_HOME matches runtime_pins.java), read port_map_file if set, surface framework_constraints to the agent if relevant ("note: Flutter web has no hot-reload — full rebuild required"), use recovery_commands keyed by failure signature when probing reports a known stuck state, and — when reproducing against a worktree whose app is mount-served — follow worktree_preview instead of rediscovering the mount switch. Quirks exist so the agent doesn't rediscover what's already documented (nexthq Java/Flutter, mmc Apache opcache).
What ships with it
3 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.
- 2d ago First seen · 138 lines · 100 tokens per session scan A d88eb3b83351
fix is a skill published in the GitHub repository swingerman/engineer (144 stars, last pushed 6d ago), licensed MIT. It adds 100 tokens to every session and 2,770 once invoked, about $0.0005 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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