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 agentmods add commands/sabbour/agentweaver/generategit clone --depth 1 https://github.com/sabbour/agentweaverWhat 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 | $0.00010 | $0.00683 |
| Opus 5 | $0.00005 | $0.00342 |
| Sonnet 5 | $0.00002 | $0.00137 |
| Haiku 4.5 | $0.00001 | $0.00068 |
Grade A, and why
generate 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 2d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Squad Bridge: Generate
Re-read the implementation plan and regenerate Squad agent definitions, capabilities, and routing rules to stay in sync with plan changes. Safe to run repeatedly — existing agents are updated in place; agents no longer supported by the plan are flagged (not deleted).
This command is also triggered by the after_plan hook.
User Input
$ARGUMENTS
Steps
-
Verify
.squad/exists — if not, tell the user to run/speckit.squad.initfirst and stop. -
Read the plan from the active spec directory under
specs/(e.g.,specs/001-<name>/plan.md). Also readspec.mdfor supplementary context (goals, constraints). -
Load bridge config from
.specify/extensions/squad/squad-config.ymlif it exists, otherwise use extension defaults. -
Read existing agents from
.squad/agents/(each agent lives in.squad/agents/{name}/charter.md) so changes can be diffed rather than blindly overwritten. Preservehistory.mdfiles (accumulated project knowledge — never touch these). -
Analyze the plan to extract technology stack, architecture layers, implementation phases, and cross-cutting concerns (same logic as
init). If$ARGUMENTSnames a specific domain, limit regeneration to that domain's agent. -
Diff against existing agents:
- New domains found in plan but no matching agent → create new agent
- Changed domains (different prominence or tech stack) → update agent capabilities and model tier
- Removed domains (in existing agents but absent from new plan) →
set
status: inactiveand note in output (do NOT delete)
-
Update
squad.config.tsat the project root (usingdefineSquad()withdefineTeam(),defineAgent(), anddefineRouting()) to reflect the new agent set, routing rules, and model tier assignments. -
Update
.squad/routing.mdto add routing rules for any new agents and update patterns for changed agents. -
Print a diff summary:
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.
- 2d ago First seen · 73 lines · 10 tokens per session scan A 3443f6f593f8
generate is a command published in the GitHub repository sabbour/agentweaver (5 stars, last pushed 2d ago), licensed MIT. It adds 10 tokens to every session and 683 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 2026-08-31.
Other commands, from other repositories
blackboard
Read or write a Network-AI blackboard key (shared multi-agent state).
self-improve
Bootstrap and operate a self-improving agent workspace. Scaffolds .learnings/ and memory/ directories, captures errors and learnings during a session, detects recurring patterns, and promotes stable entries to project memory (CLAUDE.md, AGENTS.md, or references/). Also implements the Proactive Agent pillars — WAL…
mcp
MCP server and client development — scaffold, implement tools/resources/prompts, validate schemas, debug protocol compliance, and deploy with auth and rate limiting.
init
First-run teamctl onboarding — from no-teamctl-installed to a running supervised team in one conversation.
handoff
Create a model handoff using a single canonical handoff document and then validate it.
bob-route
Preview which Bob mode a task id or a hypothetical description would route to.