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 charlesmu99/speccrew --skill speccrew-knowledge-techs-initgit clone --depth 1 https://github.com/charlesmu99/speccrewWrote 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/charlesmu99/speccrew/speccrew-knowledge-techs-init)<a href="https://agentmods.dev/skills/charlesmu99/speccrew/speccrew-knowledge-techs-init"><img src="https://agentmods.dev/badge/skills/charlesmu99/speccrew/speccrew-knowledge-techs-init.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 | $0.00067 | $0.00185 |
| Opus 5 | $0.00034 | $0.00093 |
| Sonnet 5 | $0.00013 | $0.00037 |
| Haiku 4.5 | $0.00007 | $0.00018 |
Grade A, and why
speccrew-knowledge-techs-init 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 7d 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.
What it actually says
Trigger Scenarios
- "Initialize technology knowledge base"
- "Scan source code for technology platforms"
- "Detect tech stacks in project"
AgentFlow Definition
REQUIRED: Before executing this workflow, read the XML workflow specification: speccrew-workspace/docs/rules/agentflow-spec.md Then read and execute the XML workflow in SKILL.xml block-by-block as the authoritative execution plan.
What ships with it
1 file 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.
- 7d ago First seen · 16 lines · 67 tokens per session scan A 6b960a2a9a7b
speccrew-knowledge-techs-init is a skill published in the GitHub repository charlesmu99/speccrew (13 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 67 tokens to every session and 185 once invoked, about $0.0003 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
aster-cli
Guidance for using the aster CLI to work in a codebase with an AI agent: chat and edit code, run AI code reviews, apply fixes, and manage sessions, memory, and skills. Use when running or designing aster commands, reviewing a diff or PR with aster, or when the user mentions aster review, aster chat, aster fix, or…
aster-chat-sessions
Drive aster chat programmatically and manage sessions and memory: one-shot --print/--json answers, --messages-json for caller-owned history, --continue and --session persistence, --allow-edits gating, and the sessions/memory commands. Use when scripting aster chat, integrating it into an editor or agent, or inspecting…
context-economy
Keeping the conversation small while working with big artifacts: diffs, logs, many files, bulk research. Use when output would be large, when many files need reading, or when a diff or log must be analyzed.
last30Days
Resolve "last30Days" to a concrete ISO date range relative to your run time — a rolling 30-day window ending today. Returns inclusive civil dates plus exact UTC instants so you have temporal context without computing dates by hand. Read-only: no writes, no network. Use before a "last 30 days" / trailing-month task…
md-fetch-summarize
Fetch a URL and return a concise markdown summary of its content. Read-only: no files are written; the summary is returned as output only. Use when asked to "fetch and summarize", "summarize this URL", "what does this page say", or "get the content of ". Proactively suggest when the user pastes a URL and asks what it…
context-engineering
A project documentation framework that records a project's goals, requirements, roadmap, and current state in separate files. It also keeps those documents within set size limits for an AI coding agent.