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/HoangNguyen0403/agent-skills-standardWrote 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/hoangnguyen0403/agent-skills-standard/implement-feature)<a href="https://agentmods.dev/commands/hoangnguyen0403/agent-skills-standard/implement-feature"><img src="https://agentmods.dev/badge/commands/hoangnguyen0403/agent-skills-standard/implement-feature/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/commands/hoangnguyen0403/agent-skills-standard/implement-feature"><img src="https://agentmods.dev/badge/commands/hoangnguyen0403/agent-skills-standard/implement-feature.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 | $0.00000 | $0.01052 |
| Opus 5 | $0.00000 | $0.00526 |
| Sonnet 5 | $0.00000 | $0.00210 |
| Haiku 4.5 | $0.00000 | $0.00105 |
Grade A, and why
implement-feature 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 8d 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Implement Feature
Implement an approved feature plan with fresh-context slices, TDD, evidence, and PR-ready output.
Input: $ARGUMENTS
Optional args: slug=, ticket=<id/url>, mode=interactive|autonomous|channel, channel=, auto_continue=true|false, profile=business|hybrid|technical.
Instructions
Execute the following steps for $ARGUMENTS.
Implement Feature Workflow
Goal: Build an approved feature through TDD slices and route completed work to verification.
Steps
- Load plan:
- Search
docs/prd/anddocs/srs/for a matching[slug]; if absent, use the newest matching artifact. - If multiple candidates exist, ask the user to choose or input the target slug.
- PRD or ticket
- SRS/FRS technical design if present
- Implementation plan
- Matched framework and common skills
- If stable
REQ-*,AC-*, trace, or required SRS/test lanes are missing, stop and route toplan-feature,design-solution, orimplementation-readiness.
- Search
- Prepare workspace:
- Confirm clean or intentionally dirty git state.
- Create branch or worktree only when project workflow expects it.
- Provision dependencies BEFORE tests (
npm ci/pnpm i/yarn,flutter pub get,./gradlew dependencies, orpip install -e .from the lockfile); isolated worktrees lack ignored toolchains. - If install fails from network, auth, or time budget, report
verification_infra_failedwith the exact command/error; never claim tests passed or silently skip verification. - Initialize or update
docs/srs/srs-task-list.mdwith small vertical slices.
- Implement slices:
- For each slice, write or update the failing test first.
- Before the test, record its observable contract, distinct fault, smallest layer, minimal cases, and exact focused command (the Test Intent Record).
- Consume the named
REQ-*andAC-*for each slice; do not invent scope from code inspection. - For new behavior, do not keep pre-test implementation code as a reference: observe the expected RED first.
- For legacy or bug-fix slices, characterize only when needed, then make the intended change RED while preserving unrelated existing code.
- Implement the smallest passing code.
- Refactor without expanding scope.
- Run the focused target in foreground, single-run, sequential mode; classify invalid RED, unexpected GREEN, timeout, and cleanup instead of retrying blindly.
- Keep slice evidence near the task item.
- Use sub-agents only when the runtime supports them and ownership is disjoint.
- If a fix path is unclear, stop and apply root-cause debugging before more code changes.
- Maintain context hygiene:
- Start fresh context for large independent slices when possible.
- Preserve decisions in
docs/srs/srs-task-list.mdordocs/prd/prd-plan-[slug].md. - If behavior or scope changes, update
docs/prd/prd-[slug].mdanddocs/srs/srs-[slug].mdbefore closing the slice. - Avoid carrying raw logs; summarize failures and fixes.
- Prepare handoff:
- Run fresh local automated checks before claiming success.
- Update requirement trace notes for changed AC coverage.
- Capture evidence in
docs/srs/srs-walkthrough.md. - For autonomous/channel mode, delegate only with disjoint files, owner, AC IDs, expected artifact, and verification command.
- Route next step to
verify-work.
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.
- 8d ago First seen · 87 lines · 0 tokens per session scan A 7cf314b6a33e
implement-feature is a command published in the GitHub repository HoangNguyen0403/agent-skills-standard (565 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,052 tokens. 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 2026-09-03.
Other commands, from other repositories
scm
SCM workflow for Git operations (branching/merge/conflict/worktree) plus Conventional Commit execution.
speckit.spec-stats.not-green
On-demand view of specs whose latest test evidence is red or unknown, with the exact evidence line quoted from tdd/cycle-log.md and the command that would produce evidence.
build
Use after tdd has written RED tests and the contract is in team-context.md. Implements the minimum code to turn RED tests GREEN. Runs in a worktree with single-writer invariant.
run
Comprehensive code review using specialized agents — orchestrates code, comments, tests, errors, types, and simplify agents sequentially.
pr
A pull-request workflow assistant for preparing and handling proposed code changes before they are merged.
build
Implement the next task incrementally — build, test, verify, commit.