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 skills add dceoy/speckit-agent-skills --skill speckit-implementgit clone --depth 1 https://github.com/dceoy/speckit-agent-skillsWrote 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/dceoy/speckit-agent-skills/speckit-implement)<a href="https://agentmods.dev/skills/dceoy/speckit-agent-skills/speckit-implement"><img src="https://agentmods.dev/badge/skills/dceoy/speckit-agent-skills/speckit-implement/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/dceoy/speckit-agent-skills/speckit-implement"><img src="https://agentmods.dev/badge/skills/dceoy/speckit-agent-skills/speckit-implement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00020 | $0.03223 |
| Opus 5 | $0.00010 | $0.01612 |
| Sonnet 5 | $0.00004 | $0.00645 |
| Haiku 4.5 | $0.00002 | $0.00322 |
Grade A, and why
speckit-implement 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 9d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 9d ago First seen · 236 lines · 20 tokens per session scan A 0f949173cf26
speckit-implement is a skill published in the GitHub repository dceoy/speckit-agent-skills (131 stars, last pushed 13d ago), licensed AGPL-3.0. It adds 20 tokens to every session and 3,223 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 2026-08-30.
Other skills, from other repositories
technical-planning
Plan and design a detailed, phased technical implementation from a PRD. Creates actionable task lists with guardrails for resource efficiency, error handling, and type safety. Activate for: plan, design, technical planning, task breakdown.
code-review
Perform thorough code review and audit of implemented features. Compares implementation against the technical plan, checks for AI-specific risks, and provides actionable feedback. Activate for: review, audit, code quality assessment, security review.
debug-assistant
Systematic debugging assistant that helps identify and fix bugs through structured analysis, hypothesis testing, and root cause identification. Use when facing errors, unexpected behavior, or mysterious bugs.
documentation
Generate documentation for implemented features. The actual code is always the source of truth - document what was built, not what was planned. Creates code comments, README updates, and developer guides as appropriate.
implementation
Execute a technical plan task by task, following the phased structure. v1.0: Hooks handle verification automatically - no manual reminders needed. Use when a technical plan exists and it's time to write code.
persistence
Continue working on a task until completion with automatic retry, self-verification, and alternative approaches. Activates "ralph mode" - never give up until the goal is achieved or explicitly impossible. Use when tasks require tenacity and iteration.