Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/tmusser/ai-engineering-skillsnpx agentmods add skills/tmusser/ai-engineering-skills/build-oneWrote 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/tmusser/ai-engineering-skills/build-one)<a href="https://agentmods.dev/skills/tmusser/ai-engineering-skills/build-one"><img src="https://agentmods.dev/badge/skills/tmusser/ai-engineering-skills/build-one/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/tmusser/ai-engineering-skills/build-one"><img src="https://agentmods.dev/badge/skills/tmusser/ai-engineering-skills/build-one.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 | $0.00027 | $0.00892 |
| Opus 5 | $0.00014 | $0.00446 |
| Sonnet 5 | $0.00005 | $0.00178 |
| Haiku 4.5 | $0.00003 | $0.00089 |
Grade A, and why
build-one 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 10d 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Build One
Purpose
Implement exactly one planned slice without expanding the behavioral contract or building through a known stale/required analysis checkpoint.
When to use
Use after a task is selected and scope is frozen.
Inputs
SPEC.mdPLAN.mdTODO.mdSCOPE.mdor the active scope boundary- Current repo status and frozen Git base
- Analysis checkpoint when present in
HANDOFF.mdor other current state
Workflow
-
Read
SPEC.md,PLAN.md, andTODO.md. -
Select one task.
-
Confirm the scope boundary. When
SCOPE.mdandscripts/scope_gate.pyexist, run the scope gate against the frozen base before the first new implementation write. ExistingFAILor unresolvedREVIEW_REQUIREDstate blocks further edits. -
Perform the cheap
analyze-minieligibility check using artifacts already loaded for this build:REQUIREDorSTALEcheckpoint -> invokeanalyze-minibefore editing.FRESHcheckpoint -> confirm its task-defining inputs still match current state; if not, mark itSTALEand invokeanalyze-mini.- missing checkpoint or
NOT_NEEDED-> invokeanalyze-minionly when a current trigger exists. - Missing prior analysis alone does not require
analyze-mini. - Do not broaden discovery merely to prove that analysis is unnecessary.
-
If full analysis returns
BLOCKED, stop before implementation and resolve the contradiction or decision. -
Confirm the spec ceiling: each intended behavior change must satisfy an acceptance criterion or be necessary support for one. Explicit non-goals remain out of scope.
-
If the implementation needs behavior outside that ceiling, stop and renegotiate or update the spec before making that expansion.
-
Make the minimum useful change.
-
Run relevant verification.
-
Run the scope gate before declaring the slice complete when
SCOPE.mdand the helper exist:python scripts/scope_gate.py --base <frozen-base>A scope-gate
FAILblocks completion and requires a revert or pre-write scope renegotiation.REVIEW_REQUIREDmust be surfaced and resolved; it is not permission to continue silently. -
Update
VERIFY.mdorHANDOFF.mdwith a compact build note:- Selected slice
- Files touched
- Why each file was touched
- Compatibility seams preserved
- Analysis checkpoint:
FRESH | NOT_NEEDED - Scope gate:
PASS | FAIL | REVIEW_REQUIRED - Spec ceiling respected: yes/no
- Unexpected behavior added: none | describe
- Tests changed: yes/no
- Verification run
- Stop reason
-
Update task status.
-
Stop after one task.
-
Summarize changed files and result.
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.
- 10d ago First seen · 92 lines · 27 tokens per session scan A c798b3c9ab8a
build-one is a skill published in the GitHub repository tmusser/ai-engineering-skills (4 stars, last pushed today), licensed MIT. It adds 27 tokens to every session and 892 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
awsl
Run Claude Code JavaScript Workflows through the awsl compatibility runtime. Use when an agent's current task or loaded Skill requires dispatching a Claude Code Workflow but the host cannot execute that Workflow natively, or when awsl workflow inspection, durable run state, resume, or provider diagnostics are needed.
dwi-all-in-one
Apply the relevant Dwi lenses together when several observed workflow problems co-occur. Select only the lenses the task needs, preserve a silent fast path for clear reversible work, and keep authority and evidence explicit. Prefer a focused module when one issue dominates.
dwi-arc
Structure genuinely multi-agent coding work into bounded cells with one writer per scope, explicit integration, and independent review. Use when several disjoint workstreams justify coordination. Do not use for small tasks, overlapping writers, speculative agent fleets, or process artifacts without demonstrated value.
dwi-bridge
Coordinate bounded work between native Claude and Codex workflows with explicit authority, scope, and evidence. Use for read-only consultation or explicitly authorized execution delegation. Do not create a new connector, share secrets, treat messages as authorization, or allow recursive delegation.
dwi-budget
Set and report practical token, context, time, tool-call, and coordination boundaries for coding-agent work. Use when resource use is unclear or needs a checkpoint. Do not invent measurements, monetary savings, cache benefit, or precision that the harness does not expose.
dwi-evidence
Label coding-agent claims by evidence status, preserve provenance and failures, and separate static, runtime, and human proof. Use before completion, comparison, promotion, or handoff. Do not upgrade observations into guarantees or fabricate missing measurements and approvals.