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 everruns/everruns --skill everruns-mcpgit clone --depth 1 https://github.com/everruns/everrunsWrote 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/everruns/everruns/everruns-mcp)<a href="https://agentmods.dev/skills/everruns/everruns/everruns-mcp"><img src="https://agentmods.dev/badge/skills/everruns/everruns/everruns-mcp/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/everruns/everruns/everruns-mcp"><img src="https://agentmods.dev/badge/skills/everruns/everruns/everruns-mcp.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 | $0.00061 | $0.01108 |
| Opus 5.5 | $0.00024 | $0.00443 |
| Sonnet 5.5 | $0.00012 | $0.00222 |
| Haiku 4.5 | $0.00006 | $0.00111 |
Grade A, and why
everruns-mcp 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 3d 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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Work through Everruns MCP
Use the connected server's tools and resources. A local Everruns installation
or shell is unnecessary: query and execute run the everruns command tree
inside the server's sandbox. Tool names may carry a client-assigned prefix.
Select the organization and operation
Call me for identity and default organization. Call list_organizations when
the user names another organization or the target is ambiguous. Pass the selected
organization_id on every org-scoped tool call; there is no persistent current
organization switch.
For a known operation, call discover with its exact operation name, such as
{"query":"list_agents"}. Its bash_usage and schemas describe the
deployed version. Use search for an unfamiliar operation. Discovery describes
commands, not whether a particular agent exists: actually list or get the entity.
Use query for reads and execute for authorized writes. Both accept a
commands string; returned command output is JSON suitable for jq filtering.
For example, after discovering its usage:
{"commands":"everruns agents list"}
The command sandbox has no filesystem redirection. Keep intermediate JSON in
variables or pipes, and copy bash_usage rather than probing --help.
Keep output targeted. Read-only resource catalogs at everruns://agents,
everruns://harnesses, everruns://models, and everruns://capabilities provide
summaries; use the discovered get/list commands when you need details or more
than the catalog's bounded listing. Do not guess IDs, fields, or flags.
Run and continue a session
Find the requested agent and use its returned ID with agent_run and the user's
message. Retain the returned session_id: creating a session starts work and
does not mean the agent has finished. Use session_send_message for follow-ups
in that session rather than starting over. Add budget limits when the user
specifies them.
Read session_get_status for output and events. Use its last_event_id as
since_event_id on subsequent reads to avoid rereading events. Follow returned
hints and inspect completion, failure, or required input; session status alone
does not prove the requested outcome. Space repeated polls apart and stop
polling when user action is required. If the server offers task handles or event
subscriptions and the host supports them, use the advertised contract.
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.
- 3d ago First seen · 99 lines · 61 tokens per session scan A 69df87aca8ab
everruns-mcp is a skill published in the GitHub repository everruns/everruns (60 stars, last pushed yesterday), licensed MIT. It adds 61 tokens to every session and 1,108 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-13.
Other skills, from other repositories
capabilities
Your capability catalog — read this at boot. Lists the temporal date-range skills and the external integrations (reached via the loopback broker) available to you as a spawned worker, and exactly how to call each. Read-only. Consult it whenever you're unsure what tools/integrations you have or how to invoke them.
temporal
Resolve ANY named time window — today, yesterday, thisWeek, lastWeek, last7Days, last30Days, last90Days, thisMonth, lastMonth, thisQuarter, lastQuarter, thisYear, lastYear, last12Months — or an arbitrary range (lastNdays / lastNweeks / lastNmonths) to a concrete ISO date range relative to your run time. Read-only: no…
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-audit
Read-only code quality audit — scan the current working directory for common issues (bugs, dead code, security hotspots, missing error handling) and return a prioritised findings report. No files are edited. Use when asked to "audit the code", "quick audit", "find issues", "code scan", or "what's wrong with this…
thisQuarter
Resolve "thisQuarter" to a concrete ISO date range relative to your run time — this quarter so far (quarter start → 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 quarter-to-date task (QTD…
thisWeek
Resolve "thisWeek" to a concrete ISO date range relative to your run time — this week so far (Monday → 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 week-to-date task (this week's activity…