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 SynthFlowAI/AnthropicPlugin --skill call-reportgit clone --depth 1 https://github.com/SynthFlowAI/AnthropicPluginWrote 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/synthflowai/anthropicplugin/call-report)<a href="https://agentmods.dev/skills/synthflowai/anthropicplugin/call-report"><img src="https://agentmods.dev/badge/skills/synthflowai/anthropicplugin/call-report/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/synthflowai/anthropicplugin/call-report"><img src="https://agentmods.dev/badge/skills/synthflowai/anthropicplugin/call-report.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 | $0.00123 | $0.01642 |
| Opus 5.5 | $0.00049 | $0.00657 |
| Sonnet 5.5 | $0.00025 | $0.00328 |
| Haiku 4.5 | $0.00012 | $0.00164 |
Grade A, and why
call-report 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 5d 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Call Report
Purpose
Turn a period of calls into accurate numbers and a short narrative: volume, outcomes, durations, why people called, and what happened as a result. The output is a report a customer or manager can read, with every number traceable to how it was counted.
call-review answers "what's going wrong on these calls?". This skill answers "what happened across these calls?". Use both together when a report should include quality findings.
This playbook runs on the Synthflow MCP tools, whether they come from the plugin's bundled server or the official Synthflow connector.
Tools this uses
get_call_analytics— counts by status, duration metrics, sentiment, end-call reasons, and a daily breakdown. Window up to 120 days. Cheapest source; start here.list_calls— individual calls with filters:model_id,call_status,type_of_call,from_date/to_date,duration_min/duration_max,end_call_reason,labels,call_mode(production/test),exclude_simulations(default true).page_sizemax 50.get_call_details_batch— transcripts, timelines, and executed actions for up to 25 calls per request.list_calls_by_extractor_result— calls whose information-extractor result matches a value.get_agent_actions,get_call_details— find the exact extractor names and fields before filtering on them.list_agents,list_subaccounts— scope.
Step 0 — Pin the scope
Confirm, without re-asking what the user already said:
- Scope. One agent (
model_id), one workspace, or an agency. For an agency-wide report, passworkspace_ids: ["*"]toget_call_analyticsandlist_callsinstead of looping per subaccount. - Period and timezone. Exact
from_dateandto_datein ISO-8601. "Last month" means the full calendar month. Ask which timezone the customer reports in if days or months must line up with theirs; otherwise state that you used UTC. - Call set. Default to production calls only, simulations excluded (
call_mode: "production",exclude_simulations: true). Say so in the report. Include test calls only if asked. - Questions the report must answer. Volume and outcomes are the default. Ask whether they also want call reasons, transfer results, booking results, or a comparison with the previous period.
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.
- 5d ago First seen · 90 lines · 123 tokens per session scan A 63660b6ffc20
call-report is a skill published in the GitHub repository SynthFlowAI/AnthropicPlugin (0 stars, last pushed 5d ago), licensed MIT. It adds 123 tokens to every session and 1,642 once invoked, about $0.0005 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 2026-11-09.
call-report compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| call-reportSynthFlowAI/AnthropicPlugin | Skill | 0 | 5d ago | MIT | A | 123 | Claude Code |
| imagegenopenai/codex | Skill | 135k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 80k | 8d ago | MIT | A | 200 | Claude Code, Codex |
| next-cache-components-adoptionvercel/next.js | Skill | 144k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |