Fireflies Cost TuningBLOCK
Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.
Overview
Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.
4f83675ca38aOBSERVED · 2026-10-08Host compatibility
What the documentation claims. We have not run a compatibility test.
| Host | Status | Notes |
|---|---|---|
| claude-code | mentioned |
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-cost-tuning description: >- Control Fireflies request quotas, AskFred AI credits, recording volume, storage, and seat utilization without deleting transcripts or changing plans automatically. Use when performing spend review or budget enforcement. Trigger with "Fireflies cost", "AskFred credits", or "right-size Fireflies". 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, cost, governance] model: inherit effort: high compatibility: "Designed for Claude Code; live Fireflies work requires network access" --- # Fireflies Quota and AI-Credit Control ## Overview Control Fireflies request quotas, AskFred AI credits, recording volume, storage, and seat utilization without deleting transcripts or changing plans automatically. ## 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 Costs span subscription seats, recorded volume, storage or retention, API request budgets, and AskFred AI credits. API observations can inform decisions but do not authorize plan, recording, retention, role, or deletion changes. ## 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. Define the billing period, team, approved metrics, and accountable owner. 2. Measure request counts by operation and AskFred success or require_ai_credits outcomes. 3. Use approved user metadata to identify candidate seat utilization without exposing meetings. 4. Separate unnecessary polling and oversized selections from legitimate workload. 5. Model savings from batching, event-driven processing, field minimization, and policy changes. 6. Present reversible recommendations with confidence and operational impact. 7. Track approved actions and validate savings without deleting records as a test. ## 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 plan or seat changes, recording-policy changes, retention changes, AskFred use, bulk export, or transcript deletion. ## 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 - Usage data incomplete: state the gap and avoid projected certainty. - require_ai_credits: do not purchase or retry automatically. - Deletion proposed for savings: require retention, legal, and owner review. ## Examples - "Review fireflies quota and ai-credit control" 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.
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.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | PASS |
| L2 | Instruction surface (what it tells the agent) | FAIL |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (1)
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
Gates applied: critical_finding, no_behavioural_pass, undeclared_transfer.
4f83675ca38afull audit observations/trust-audit/skill/jeremylongshore__fireflies-cost-tuning.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-08 | 4f83675ca38a | BLOCK | D | 69 | first audit |
Questions
What does the Fireflies Cost 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 Cost 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 Cost Tuning access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
Which assistants does Fireflies Cost 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.