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.
git clone --depth 1 https://github.com/eai-support/eai-goferWrote 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/commands/eai-support/eai-gofer/gofer_tdd)<a href="https://agentmods.dev/commands/eai-support/eai-gofer/gofer_tdd"><img src="https://agentmods.dev/badge/commands/eai-support/eai-gofer/gofer_tdd.svg" alt="Measured on agentmods" 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 | $0.00018 | $0.02704 |
| Opus 5 | $0.00009 | $0.01352 |
| Sonnet 5 | $0.00004 | $0.00541 |
| Haiku 4.5 | $0.00002 | $0.00270 |
Grade A, and why
gofer:tdd 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.
This is a copy
77% identical to 10_gofer_cloud — 602 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gofer TDD
MVP Capability-Based Validation
Use .specify/references/mvp-capability-validation.md as the source of
truth. Validate the work that the active feature specification requires now.
Do not apply later delivery requirements to an early MVP.
- Create
.specify/specs/{feature}/before app or operator-tool source work. - Keep
spec.md,plan.md,tasks.md,traceability.md, and the validation scope aligned. - Mark each relevant capability as
not_applicable,planned,implemented,verified, orblocked. - Require evidence only for an implemented capability or a capability required by the current delivery decision.
- Treat
run.sh,run.bat, andrun.ps1as launch evidence only. They do not prove authentication, sessions, EAI access, or deployment readiness. - For a user-facing change, store the local HTTP check, screenshot, and review outcome in the feature validation report.
- If browser validation is blocked, mark that user journey
unverified. Do not call it complete. - If the user changes scope, update the feature artifacts before continuing. Explain what changed, what remains valid, and what now needs evidence.
- Use truthful completion language. For example:
The server runs. Authentication is not in the current MVP scope. - When the feature claims a release or deployed outcome, create
release-capability-ledger.mdfrom.specify/templates/release-capability-ledger-template.md. - Do not report a release complete or score 100% when a required capability is missing from traceability, remains on an open PR, is absent from the release branch, or lacks required deployed evidence.
Application Classification And EAI Preflight
Before any EAI CLI, login, tenant, template, or app-enrollment action:
- Classify the request as EAI app delivery or non-application work using the application signals in
.specify/commands/0_gofer_start.md. - Create
.specify/specs/{feature}/and record the active delivery scope before app or operator-tool source work. - If the request is clearly non-app work, confirm once: "This looks like non-app work, so I will skip EAI tenant/app setup and continue the Gofer research/docs path. Is that right?"
- If the user confirms non-app, record the decision and mark app-only capabilities
not_applicable. Do not runeai whoami,eai tenant select,eai init, or/gofer:eai-first-run. - For local MVP app work, validate the implemented user journey, repo runner, and preview evidence. Do not require EAI setup, authentication, or deployment when the active specification does not require them.
- When the feature uses EAI Platform services, requires a tenant, or prepares deployment, run
eai whoamiand record the EAI readiness evidence ineai-preflight.md. - When the feature creates, changes, or validates an EAI Platform app integration, run
node .specify/scripts/node/eai-app-template-readiness.mjs --root . --json. A missing checker or status other thanreadyblocks that EAI capability. It does not block unrelated local MVP work. - When authentication is implemented or required, validate provider, callback, sign-in, session, first protected API call, and safe denied access.
- When deployment is requested or claimed, require the relevant EAI template, security, configuration, and deployment evidence before completion.
- For durable app delivery, use EAI Platform first, Azure second, and every other stack only by explicit exception.
- If the user changes scope, update
spec.md,plan.md,tasks.md,traceability.md, and validation scope before continuing. Explain the business effect and evidence change. - Do not accept copied marker files, partial scaffolds, or custom templates as readiness evidence for an EAI capability.
- Do not write tokens, secrets, private tenant IDs, or local
.envvalues into Gofer artifacts; record only product-safe readiness status and evidence.
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 First seen · 184 lines · 18 tokens per session scan A 3cb7af371d33
gofer:tdd is a command published in the GitHub repository eai-support/eai-gofer (1 stars, last pushed today), licensed Apache-2.0. It adds 18 tokens to every session and 2,704 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 77% identical to 10_gofer_cloud, differing in 602 lines, and is treated as a copy.
Other commands, from other repositories
build
Build the next task incrementally using test-driven development.
test
Write tests before implementation using Red-Green-Refactor.
tdd
Development practices and TDD workflow to follow before starting a feature.
prompt-evolve
Closed prompt-evolution loop: turn a lesson into a candidate agent prompt, gate it on held-out evals, promote only if it beats the baseline. SIA Meta→Target→Feedback ported to greatcto.
validar-spec
Validar la calidad y completitud de una especificación antes de planificar. Usa cuando el usuario dice "validar spec", "validate spec", "spec quality", "validar specs", "spec completeness", "checar specs", "check spec quality", "IEEE 29148", "spec verification". Valida que la spec esté completa y lista para…
avance-rapido
Crear todos los artefactos de planificación de un golpe (fast-forward).