Atlas / Skills / jeremylongshore / Fireflies Performance Tuning

Fireflies Performance TuningBLOCK

skills/jeremylongshore/fireflies-performance-tuning

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Verdict
BLOCK
Grade
D
Trust score
69 /100
Version
1.12.0
Hosts
1 documented
License
MIT
Stars
2,823
01

Overview

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Read from source at commit 4f83675ca38aOBSERVED · 2026-10-08
02

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
claude-codementioned
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: fireflies-performance-tuning
description: >-
  Reduce Fireflies latency and quota use through field minimization, bounded pagination, caching of non-sensitive metadata, and asynchronous webhook-driven retrieval. Use when calls are slow or wasteful. Trigger with "speed up Fireflies", "optimize Fireflies query", or "reduce Fireflies calls".
allowed-tools: Read,Glob,Grep,Write,Edit
argument-hint: "<repository-path> <workflow-scope>"
version: 1.12.0
license: MIT
author: Jeremy Longshore <[email protected]>
tags: [saas, fireflies, performance, graphql]
model: inherit
effort: high
compatibility: "Designed for Claude Code; live Fireflies work requires network access"
---
# Fireflies GraphQL Performance Tuning

## Overview

Reduce Fireflies latency and quota use through field minimization, bounded pagination, caching of non-sensitive metadata, and asynchronous webhook-driven retrieval.

## Prerequisites

- The target repository or integration path and the requested operator outcome.
- The Fireflies principal, team, environment, and data classification for the work.
- Current Fireflies documentation, credentials only when needed, and an accountable approver.

## Current Contract

GraphQL performance starts with smaller field selections and fewer calls. transcripts pages at most 50 records; cache only approved metadata, never assume summaries or sentences are immutable while processing, and prefer Webhooks V2 over aggressive polling.

## Authentication

For authenticated operations, inject `FIREFLIES_API_KEY` from an approved secret manager and send it only as `Authorization: Bearer REDACTED_KEY` to `https://api.fireflies.ai/graphql`. Never print, commit, place in a URL, forward to a browser, or include the key in evidence. Webhook signing secrets are separate credentials and must not be reused as API keys.

## Instructions

1. Measure latency, response bytes, selected fields, pages, errors, and quota use by operation.
2. Remove unused nested fields and split metadata discovery from sensitive detail retrieval.
3. Set explicit result caps and page only while the caller still needs data.
4. Replace processing-status polling with meeting.transcribed or meeting.summarized events where appropriate.
5. Cache only classified metadata with tenant-aware keys and bounded TTLs.
6. Limit concurrency below the applicable plan and operation budgets.
7. Compare before/after metrics on synthetic or approved records and keep rollback settings.

## Tool Discipline

Use Read, Glob, and Grep to inspect code, configuration, tests, and evidence. Use Write/Edit only for approved implementation or documentation changes. Do not query Fireflies, retrieve meeting content, create an AskFred thread, upload media, change account state, replay an event, or deploy merely because this skill was invoked.

## Approval Boundaries

Require approval before caching meeting-derived data, increasing concurrency, widening selections, or using a broader transcript cohort.

## Output

Return the exact operation or event surface, environment, authorization class, selected field groups, validation results, content-free metrics, decisions, and a concise pass/fail receipt. Keep secrets and meeting-derived content out of general output.

## Validation

Before reporting success, rerun the smallest relevant deterministic check, compare actual state with the requested outcome and current contract, verify no secret or meeting-derived content entered logs or artifacts, and record unresolved uncertainty explicitly.

## Error Handling

- Faster query returns less required data: reject the optimization.
- Cache crosses principals or tenants: purge through the approved incident procedure.
- Polling causes throttling: stop and switch to event-driven status where supported.

## Examples

- "Review fireflies graphql performance tuning" produces a bounded plan and redacted receipt.
- A request that widens access or mutates production is paused at the approval boundary.

## Resources

Read [official Fireflies.ai evidence](references/official-docs.md) before relying on a field, filter, event, permission, plan limit, mutation, or processing state.
04

Trust audit

BLOCKgrade D · trust 69/100 Do not install this without reading the findings. The audit found something that could harm you or your machine.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codePASS
L2Instruction surface (what it tells the agent)FAIL
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (1)

CRITICALPrompt injection · prompt.transfer_instruction · CWE-94, CWE-1427
SKILL.md:33
For authenticated operations, inject `FIREFLIES_API_KEY` from an approved secret manager and send it only as `Authorization: Bearer REDACTED_KEY` to `https://api.fireflies.ai/graphql`. Never print, co
Why it matters. an instruction to move sensitive data to an outside destination
Fix. remove; a skill never needs the user's secrets off the machine

Gates applied: critical_finding, no_behavioural_pass, undeclared_transfer.

Audited 2026-10-08 · audit v0.4.1 · source sha 4f83675ca38afull audit observations/trust-audit/skill/jeremylongshore__fireflies-performance-tuning.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-084f83675ca38aBLOCKD69first audit
06

Questions

What does the Fireflies Performance Tuning skill do?

Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.

Is Fireflies Performance Tuning safe to install?

No — not without reading the findings first. The audit graded it D (69/100) and found 1 critical or high issue in the source. Each one is listed on this page with the file and line it is on.

What can Fireflies Performance Tuning access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

Which assistants does Fireflies Performance Tuning work with?

Its documentation mentions claude-code. That is what the text claims, not a compatibility test we ran.

How current is this page?

The grade is for one exact copy of the source (4f83675ca38a), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.

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