setup
Skill2 starsChanged 22 days agoMITView on GitHub
Configure credentials for Charlotte AI AgentWorks API access. Guides users through manual TOML configuration or environment variable setup. TRIGGER when user explicitly asks to "set up Charlotte AI AgentWorks", "configure credentials", or has auth errors. DO NOT TRIGGER for general Charlotte AI AgentWorks usage (orchestrator handles routing).
191 other projects use a version of this.
Adopted by
Most recently taken up by
- hydra-db/hydradb-claude-codetheir own version, first seen Nov 8, 2026
- WALKERKILLER/Look-Tongji-Notestheir own version, first seen Nov 8, 2026
- steerlabs/opensteertheir own version, first seen Nov 8, 2026
- ansvisor/ansvisortheir own version, first seen Nov 8, 2026
- dsifry/metaswarmtheir own version, first seen Nov 8, 2026
- anombyte93/prd-taskmastertheir own version, first seen Nov 8, 2026
Used with
Projects with it also use add-voice-transcription, add-discord and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
juancruzmunozalbeloSkilladd-voice-transcription
Add voice message transcription to NanoClaw using OpenAI's Whisper API. Automatically transcribes WhatsApp voice notes so the agent can read and respond to them.
Also in 5 projects that use this
MicrosoftSkilladd-discord
Add Discord bot channel integration via Chat SDK.
Also in 11 projects that use this
MicrosoftSkilladd-slack
Add Slack channel integration via Chat SDK.
Also in 11 projects that use this
juancruzmunozalbeloSkilladd-telegram-swarm
Add Agent Swarm (Teams) support to Telegram. Each subagent gets its own bot identity in the group. Requires Telegram channel to be set up first (use /add-telegram). Triggers on "agent swarm", "agent teams telegram", "telegram swarm", "bot pool".
Also in 7 projects that use this
- +8 more from microsoft
Other versions191 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 191
- anthropics/knowledge-work-plugins★ 35ksame name
- garrytan/gbrain★ 32ksame name
- gavrielc/nanoclaw★ 31ksame name
- nanocoai/nanoclaw★ 31ksame name
- qwibitai/nanoclaw★ 31ksame name
- Q00/ouroboros★ 6.3ksame name
- pytorch/executorch★ 5.2ksame name
- agenticnotetaking/arscontexta★ 3.5ksame name
- aws/agent-toolkit-for-aws★ 3.4ksame name
- spotify/portal-ai-plugins★ 2.8ksame name
181 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository8 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- agentsSkill
- agentworksSkill
- discoverySkill
- foundry-redirectSkill
- invocationSkill
- knowledge-basesSkill
The file
We split this skill into the rules it gives an agent
11 rules. 0 are common, 9 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 171 edited versions we read keep these.
9
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- could be automatic: a setting could enforce it
- Distinctive: line 29
Should authenticate 5 FalconPy clients (KnowledgeBases, KnowledgeBaseFiles, KnowledgeBaseAuditEvents, Agents, AgentInvocation), all sharing …
- Distinctive: line 90
Check TOML file exists and has correct profile
- Distinctive: line 94
Verify client_id/secret are correct
- Distinctive: line 95
Check base_url matches your Falcon cloud (us-1, us-2, eu-1, etc.)
- Distinctive: line 96
Ensure API client has required scopes
- Distinctive: line 99
Check network connectivity to Falcon API
- Distinctive: line 100
Verify client_id/secret haven't been rotated
- Very specific: line 101
Run python common/scripts/auth.py -- as of this version it prints the real API error (e.g.
- Very specific: line 108
Check whether your organization requires a custom CA bundle for outbound HTTPS, and that Python's trust store (or …
- Distinctive: line 120
After configuration, restart the coding agent terminal so it receives the updated environment.
- Distinctive: line 129
Never commit credentials to git
“Common” is measured: kept by at least 6 in 10 of the 171 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Charlotte AI AgentWorks Setup
Configuration
This plugin requires Falcon API OAuth 2.0 credentials. Configure using one of the methods below.
Test authentication:
scripts/python.sh common/scripts/auth.pyShould authenticate 5 FalconPy clients (KnowledgeBases, KnowledgeBaseFiles, KnowledgeBaseAuditEvents, Agents, AgentInvocation), all sharing one token.
Setup Methods
Option 1: TOML Profile (Recommended)
Create ~/.cache/crowdstrike-charlotte-ai-agentworks/credentials.toml:
default = "us-1"
[us-1]
client_id = "your-client-id-here"
client_secret = "your-client-secret-here"
base_url = "https://api.crowdstrike.com" # or your cloud URLSet permissions:
mkdir -p ~/.cache/crowdstrike-charlotte-ai-agentworks
chmod 700 ~/.cache/crowdstrike-charlotte-ai-agentworks
chmod 600 ~/.cache/crowdstrike-charlotte-ai-agentworks/credentials.tomlOption 2: Environment Variables
export FALCON_CLIENT_ID=<your-id>
export FALCON_CLIENT_SECRET=<your-secret>
export FALCON_BASE_URL=https://api.crowdstrike.com # optional, defaults to US-1Required API CSRN Permissions
Charlotte AI AgentWorks uses these CSRN permissions:
csrn:charlotte-ai:agent:definition(read + write)csrn:charlotte-ai:agent:invocation(assert/execute)csrn:charlotte-ai:agent:knowledge-base(read + write)csrn:charlotte-ai:agent:template(read)csrn:charlotte-ai:agent:metrics(read)
Verification
After setup, run:
cd /path/to/agentworks-skills
scripts/python.sh common/scripts/auth.pyShould see:
✓ Authentication successful (KnowledgeBases client)
✓ Authentication successful (KnowledgeBaseFiles client)
✓ Authentication successful (KnowledgeBaseAuditEvents client)
✓ Authentication successful (Agents client)
✓ Authentication successful (AgentInvocation client)Troubleshooting
"No credentials found"
- Check TOML file exists and has correct profile
- OR set env vars
"Authentication FAILED"
- Verify client_id/secret are correct
- Check base_url matches your Falcon cloud (us-1, us-2, eu-1, etc.)
- Ensure API client has required scopes
"token_expired() returns True"
- Check network connectivity to Falcon API
- Verify client_id/secret haven't been rotated
- Run
python common/scripts/auth.py-- as of this version it prints the real API error (e.g. bad credentials, missing scope) instead of just "could not obtain token"
Authentication fails with a certificate/TLS error during login (e.g.
CERTIFICATE_VERIFY_FAILED: unable to get local issuer certificate) -- distinct from the
package-install certificate errors below; this happens on the live API call itself, often
behind a TLS-intercepting proxy (e.g. Zscaler) common in corporate environments.
- Check whether your organization requires a custom CA bundle for outbound HTTPS, and that
Python's trust store (or
SSL_CERT_FILE/REQUESTS_CA_BUNDLE) points at it - Confirm a plain
curlto yourbase_urlsucceeds from the same shell/environment first -- if that also fails, this is a network/proxy config issue outside the plugin, not an Charlotte AI AgentWorks credential problem - These settings must be configured outside the AI coding agent; restart the coding agent terminal after configuring so it receives the updated environment
Package installation reports access, certificate, or registry errors
- Refer the user to their organization's documentation for setting up a Python environment.
- Their organization may require an approved package registry or specific certificates.
- These settings must be configured outside the AI coding agent.
- After configuration, restart the coding agent terminal so it receives the updated environment.
- Some workstation changes may require signing out and back in before restarting the agent.
Security
- Never paste credentials into chat
- Credentials go only into the TOML file (via your editor) or env vars
- TOML file should be
chmod 600 - TOML directory should be
chmod 700 - Never commit credentials to git
Multi-Cloud Support
Charlotte AI AgentWorks supports all Falcon clouds. base_url may be any Falcon cloud URL,
including custom/internal environments; it is not restricted to this list:
- US-1:
https://api.crowdstrike.com(default) - US-2:
https://api.us-2.crowdstrike.com - EU-1:
https://api.eu-1.crowdstrike.com - US-GOV-1:
https://api.laggar.gcw.crowdstrike.com
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

