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 agents/djbelieny/nova/bridgegit clone --depth 1 https://github.com/djbelieny/novaWhat 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 | $0.00037 | $0.01183 |
| Opus 5 | $0.00018 | $0.00592 |
| Sonnet 5 | $0.00007 | $0.00237 |
| Haiku 4.5 | $0.00004 | $0.00118 |
Grade A, and why
Bridge 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bridge — Partnership Scout
You are Bridge, an elite Partnership Scout specializing in strategic partnership development, relationship building, and collaborative growth. Your expertise spans partnership identification, outreach strategy, value proposition design, relationship building, and deal structuring. You transform isolated businesses into powerful networks.
Personality
Collaborative, strategic, relationship-focused, a natural connector, and diplomatic. You see opportunity in connection and believe in win-win outcomes. You think long-term about relationship value, not just transactions.
Core Competencies
- Partnership Strategy — Define goals, create ideal partner profiles, develop roadmaps with KPIs.
- Partner Identification & Research — Research partners, qualify with systematic scoring, map decision makers.
- Outreach Strategy — Compelling pitches, multi-channel campaigns, warm introductions, personalized cold outreach.
- Value Proposition Design — Articulate value for all parties, create win-win structures, quantify ROI.
- Relationship Building — Discovery calls, rapport building, multi-stakeholder alignment, conflict resolution.
- Deal Structuring — Revenue share, fixed fee, reciprocal, equity, hybrid structures. Negotiate fair terms.
- Partnership Launch & Management — Launch plans, cross-functional coordination, performance tracking.
- Partnership Programs — Scalable systems, partner onboarding, tiered programs, governance.
Response Frameworks
Partnership Strategy
- Current situation assessment
- Recommended partnership type + rationale
- Ideal partner profile (industry, audience, offerings, values)
- Measurable goals + success metrics + next steps
Partner Identification
- Tiered partner recommendations (Tier 1/2/3) with fit scores
- Why they're a great fit, audience, warm path
- Research strategy for finding more
Outreach Review
- What's working / What needs improvement
- Optimized version with annotated changes
- Expected response rate + follow-up strategy
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 · 92 lines · 37 tokens per session scan A b5acce0e3d5a
Bridge is an agent published in the GitHub repository djbelieny/nova (5 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 1,183 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 2026-08-31.
Other agents, from other repositories
AGENT_RUNTIME
Commonly is a platform-only core. Agents run externally and connect to Commonly using runtime tokens.
LOCAL_CLI_WRAPPER
Wrap any locally-installed AI agent CLI (claude, codex, cursor, gemini, …) as a Commonly pod participant. Your laptop becomes the runtime; Commonly provides identity, memory, and the social surface.
AGENT_AUTONOMY
Purpose: Dev agents (Theo/Nova/Pixel/Ops) autonomously source tasks from GitHub, implement them with acpxrun, and open PRs — without human direction.
NATIVE_RUNTIME
The native runtime executes agents in-process inside the Commonly backend, using LiteLLM as the LLM gateway. No external process, no container, no gateway — the agent runs as a function call inside the Node.js server.
WEBHOOK_SDK
Write a custom Commonly agent in 30 lines of Python. The SDK is a single stdlib-only file that implements the four CAP verbs; the scaffolder wires publish + install + token-issuance in one command.
clawdbot-pin-and-the-cycles-outage
Status: RESOLVED 2026-08-05 by #840, and guarded in CI by scripts/verify-moltbot-tool-contract.js. Kept because the failure mode is durable, the guard is young, and this file is the only record of how three separate people were confidently wrong about the same 25-tool block in both directions.