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-pm-phase1-knowledge-checkgit 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-pm-phase1-knowledge-check)<a href="https://agentmods.dev/skills/charlesmu99/speccrew/speccrew-pm-phase1-knowledge-check"><img src="https://agentmods.dev/badge/skills/charlesmu99/speccrew/speccrew-pm-phase1-knowledge-check/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/charlesmu99/speccrew/speccrew-pm-phase1-knowledge-check"><img src="https://agentmods.dev/badge/skills/charlesmu99/speccrew/speccrew-pm-phase1-knowledge-check.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 | $0.00046 | $0.00158 |
| Opus 5 | $0.00023 | $0.00079 |
| Sonnet 5 | $0.00009 | $0.00032 |
| Haiku 4.5 | $0.00005 | $0.00016 |
Grade A, and why
speccrew-pm-phase1-knowledge-check 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 11d 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
- PM Agent starts new requirement processing
- Knowledge base status unknown
- Module matching and deep initialization required
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.
- 11d ago First seen · 16 lines · 46 tokens per session scan A b5765b5c4118
speccrew-pm-phase1-knowledge-check is a skill published in the GitHub repository charlesmu99/speccrew (13 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 46 tokens to every session and 158 once invoked, about $0.0002 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
harness
Use when governing a workspace's control plane, code or not — the 01-TOOLS/ tooling layer, the 02-DOCS/ chaos→knowledge wiki, the root Knowledge map. Audits it, migrates legacy XX- folders, scaffolds provider tooling, sweeps the inbox, writes root CLAUDE.md/AGENTS.md. NOT the bootstrap front door (that is init, which…
spec-manager
Spec-driven project iteration workflow: L1 PRD -> L2 Design -> L3 Impl -> Agent Task, with human review gates at each layer.
sdd-tasks
Break an SDD change into implementation tasks. Trigger: orchestrator launches task planning for a change.
batch-all-issues
Resolve every open issue one at a time: fact-check each with web research, close the ones that need no action, and run the goal-pr skill to fix, review, and merge the ones that do — repeating until no actionable issues remain.
post-issue-comment
Post a reply comment on a GitHub issue in English with a natural, concise writing style, based on the intent passed as arguments.
orchestrate
Pipeline orchestration: dispatch the highest-priority ready tasks/work units to agents, manage capacity, and coordinate the Todo to Done flow. Invoked as /agiflow:orchestrate. Uses listtasks, listactivetasksbyorg, listmembers, updatetask, getworkunitprogress.