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 marmar9615-cloud/agentbridge-protocol --skill agentbridgegit clone --depth 1 https://github.com/marmar9615-cloud/agentbridge-protocolWrote 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/marmar9615-cloud/agentbridge-protocol/agentbridge)<a href="https://agentmods.dev/skills/marmar9615-cloud/agentbridge-protocol/agentbridge"><img src="https://agentmods.dev/badge/skills/marmar9615-cloud/agentbridge-protocol/agentbridge/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/marmar9615-cloud/agentbridge-protocol/agentbridge"><img src="https://agentmods.dev/badge/skills/marmar9615-cloud/agentbridge-protocol/agentbridge.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 | $0.00000 | $0.01057 |
| Opus 5.5 | $0.00000 | $0.00423 |
| Sonnet 5.5 | $0.00000 | $0.00211 |
| Haiku 4.5 | $0.00000 | $0.00106 |
Grade A, and why
agentbridge 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 1mo 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.
AgentBridge skill
Operating guidance for an agent that has the AgentBridge MCP server available. The server exposes five tools, four resources, and four prompts. This skill explains when to use each tool and how to respect the safety contract.
When to use each tool
discover_manifest— call this first against any new URL to understand what an app supports. Returns the manifest name,baseUrl, action count, resource list, and contact info.scan_agent_readiness— score the URL's manifest from 0–100, with structuredchecks[]and grouped recommendations. Use it to diagnose gaps (missing examples, missing confirmation flags, missing permissions, schema issues).list_actions— get a compact list of every action with its name, title, risk level, confirmation flag, and declared permissions. Use this before anycall_actionto confirm the action exists and what it does.call_action— invoke an action with a typed input payload.- For low-risk actions, the call runs immediately.
- For medium- or high-risk actions, the first call returns
{ status: "confirmationRequired", confirmationToken, summary, ... }. You must show thesummaryto the human reviewer and only re-call after explicit approval, includingconfirmationApproved: trueAND the sameconfirmationToken. - Optional
idempotencyKeylets you safely retry a call. The same key with the same input replays the prior result; the same key with a different input is rejected as a conflict.
get_audit_log— read recent audit events to verify what was invoked, by which client, and with what status. Useful for before/after sanity checks.
Safety rules
These are non-negotiable. Refuse to act if a user asks you to bypass any of them.
- Always ask the human before calling a medium- or high-risk
action. Show the action's
humanReadableSummaryTemplaterendered with the proposed input, then wait for explicit approval. - Never invent a
confirmationToken. The token must come from a priorcall_actionresponse that returnedconfirmationRequired. Tokens are single-use and bound to the exact(url, actionName, hash(input))triple. - Never bypass origin pinning. The MCP server enforces that
action endpoints share origin with
manifest.baseUrl. If a call is rejected on origin grounds, the manifest is wrong — don't construct alternative URLs to "fix" it. - Default to loopback. Only loopback URLs (
localhost,127.0.0.1,::1) are allowed unless the operator has setAGENTBRIDGE_ALLOW_REMOTE=truein the server's environment. Don't ask users to flip that on casually. - Validate before invoking. Check the action's
inputSchemaagainst the proposed input before callingcall_action. If anything looks ambiguous, ask the human to clarify rather than guessing. - Audit trail is the source of truth. Use
get_audit_logto check what actually happened — don't invent prior calls or claim results without confirmation from the audit log.
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.
- 1mo ago First seen · 92 lines · 0 tokens per session scan A 7113fb1a3e5a
agentbridge is a skill published in the GitHub repository marmar9615-cloud/agentbridge-protocol (1 stars, last pushed 2mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,057 tokens. 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 skills, from other repositories
outcome-run
Run one action in an outcome-loop folder. Use when the user wants to execute the outcome loop, start with Superdense reward maintenance, choose one action on a lever, create runs/ /work.md and learnings.md, or use prior outcomes to improve a real-world metric.
outcome-setup
Set up or repair one outcome-loop folder for improving a real-world outcome. Use when the user wants to define goal.md, run.md, analytics/instrumentation, levers, target repos/accounts, or the folder contract for an outcome loop.
outcome-update
Improve an existing outcome loop playbook from prior runs and Superdense reward evidence. Use when the user wants observer-mode analysis, macro workflow improvements, run.md updates, lever-map refinement, diagnostics improvements, or efficiency fixes for future outcome runs.
chain
Inject the 3 most recent session IDs for the current workspace into the prompt before Claude responds. Use when starting work and wanting recent session context.
reviewable-demo
Reviewable synthetic skill that fetches a remote template before processing notes.
safe-greeting
Returns a short greeting without using tools or external resources.