Infisical Sync Skill logo

Infisical Sync Skill

OrganizationPopular
RightNow-AI
infisical-sync-skill

Expert knowledge for the Infisical Sync Hand — Infisical API reference, vault operations, error patterns, security guidance

Overview

PublisherRightNow-AI
Repositoryopenfang
Skill nameinfisical-sync-skill
Stars
18.2K
Forks
2.3K
Bundled files
1
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by RightNow-AI on GitHub. Read the source before you install it.

Installation

Install the Infisical Sync Skill AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/RightNow-AI/openfang.git /tmp/openfang
mkdir -p .claude/skills
cp -r /tmp/openfang/crates/openfang-hands/bundled/infisical-sync .claude/skills/infisical-sync-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Infisical Sync Skill in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Infisical Sync Skill on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Infisical Sync Skill is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Infisical Sync Expert Knowledge

1. Infisical API Reference

Base URL

All requests go to $INFISICAL_URL. This is the self-hosted instance base URL, e.g. https://infisical.example.com.

Authentication — Universal Auth

Infisical uses Machine Identities with Universal Auth for agent-to-agent communication.

Endpoint: POST /api/v1/auth/universal-auth/login

Request:

json
{
  "clientId": "<INFISICAL_CLIENT_ID>",
  "clientSecret": "<INFISICAL_CLIENT_SECRET>"
}

Response (success):

json
{
  "accessToken": "eyJ...",
  "expiresIn": 7200,
  "accessTokenMaxTTL": 43200,
  "tokenType": "Bearer"
}

curl example:

bash
RESPONSE=$(curl -s -X POST "$INFISICAL_URL/api/v1/auth/universal-auth/login" \
  -H "Content-Type: application/json" \
  -d "{\"clientId\":\"$INFISICAL_CLIENT_ID\",\"clientSecret\":\"$INFISICAL_CLIENT_SECRET\"}")

ACCESS_TOKEN=$(echo "$RESPONSE" | python3 -c "import sys,json; print(json.load(sys.stdin)['accessToken'])")

Token lifetime: expiresIn seconds (usually 7200 = 2 hours). Re-authenticate when expired.


List Secrets

Endpoint: GET /api/v4/secrets

Query parameters:

ParamRequiredDescription
projectIdYesInfisical project ID
environmentYesEnvironment slug (e.g. prod, staging, dev)
secretPathNoPath prefix, default /
includeImportsNoInclude imported secrets, default false
recursiveNoInclude secrets in sub-paths, default false

curl example:

bash
curl -s -X GET \
  "$INFISICAL_URL/api/v4/secrets?projectId=$PROJECT_ID&environment=$ENVIRONMENT&secretPath=/" \
  -H "Authorization: Bearer $ACCESS_TOKEN"

Response shape:

json
{
  "secrets": [
    {
      "id": "uuid",
      "version": 1,
      "secretKey": "DATABASE_URL",
      "secretValue": "postgres://...",
      "secretComment": "",
      "environment": "prod",
      "workspace": "uuid"
    }
  ],
  "imports": []
}

Parse with:

bash
echo "$RESPONSE" | python3 -c "
import sys, json
data = json.load(sys.stdin)
for s in data.get('secrets', []):
    print(s['secretKey'])
"

Create or Update a Secret

The API does not provide a single upsert endpoint. POST creates only (returns 409 if the secret already exists); PATCH updates only (returns 404 if missing). Use the create-then-update pattern:

Step 1 — Try to create (POST)
Endpoint: POST /api/v4/secrets/{secretName}

Request body:

json
{
  "projectId": "<PROJECT_ID>",
  "environment": "<ENV>",
  "secretValue": "<VALUE>",
  "secretPath": "/"
}
bash
HTTP_STATUS=$(curl -s -o /tmp/infisical_response.json -w "%{http_code}" \
  -X POST "$INFISICAL_URL/api/v4/secrets/$SECRET_NAME" \
  -H "Authorization: Bearer $ACCESS_TOKEN" \
  -H "Content-Type: application/json" \
  -d "{\"projectId\":\"$PROJECT_ID\",\"environment\":\"$ENVIRONMENT\",\"secretValue\":\"$SECRET_VALUE\",\"secretPath\":\"/\"}")

Returns 201 on success.

Step 2 — If 409, update via PATCH
Endpoint: PATCH /api/v4/secrets/{secretName}

bash
if [ "$HTTP_STATUS" = "409" ]; then
  HTTP_STATUS=$(curl -s -o /tmp/infisical_response.json -w "%{http_code}" \
    -X PATCH "$INFISICAL_URL/api/v4/secrets/$SECRET_NAME" \
    -H "Authorization: Bearer $ACCESS_TOKEN" \
    -H "Content-Type: application/json" \
    -d "{\"projectId\":\"$PROJECT_ID\",\"environment\":\"$ENVIRONMENT\",\"secretValue\":\"$SECRET_VALUE\",\"secretPath\":\"/\"}")
fi

Returns 200 on success. Any other status code is an error.

Important: URL-encode the secret name if it contains special characters.


Delete a Secret

Endpoint: DELETE /api/v4/secrets/{secretName}

Query parameters: projectId, environment, secretPath (default /)

curl example:

bash
curl -s -X DELETE \
  "$INFISICAL_URL/api/v4/secrets/$SECRET_NAME?projectId=$PROJECT_ID&environment=$ENVIRONMENT&secretPath=/" \
  -H "Authorization: Bearer $ACCESS_TOKEN"

List Accessible Projects (Workspaces)

Endpoint: GET /api/v1/workspace

bash
curl -s -X GET "$INFISICAL_URL/api/v1/workspace" \
  -H "Authorization: Bearer $ACCESS_TOKEN"

Response: { "workspaces": [{ "id": "uuid", "name": "...", "environments": [...] }] }


2. HTTP Error Codes

CodeMeaningAction
200/201SuccessContinue
400Bad RequestLog the response body — likely malformed JSON or missing field
401UnauthorizedRe-authenticate; token may have expired
403ForbiddenMachine identity lacks permissions — check Infisical Access Control
404Not FoundSecret or project doesn't exist
429Rate LimitedWait 60 seconds, retry once
500/503Server ErrorLog + retry once after 30 seconds; notify if still failing

Always check HTTP status before trusting response body:

bash
HTTP_STATUS=$(curl -s -o /tmp/infisical_response.json -w "%{http_code}" ...)
if [ "$HTTP_STATUS" != "200" ] && [ "$HTTP_STATUS" != "201" ]; then
  # handle error
fi
RESPONSE=$(cat /tmp/infisical_response.json)

3. Sync State File Format

Stored at infisical_sync_state.json:

json
{
  "last_sync": "2025-01-15T10:30:00Z",
  "project_ids": ["uuid1", "uuid2"],
  "environment": "prod",
  "secrets": {
    "DATABASE_URL": {
      "hash": "sha256_of_key_plus_value",
      "version": 3,
      "last_synced": "2025-01-15T10:30:00Z"
    }
  },
  "error_count": 0,
  "push_count": 12,
  "pull_count": 47
}

Hash computation (to detect changes without storing values):

bash
echo -n "DATABASE_URL:postgres://..." | sha256sum | awk '{print $1}'

Or with Python:

python
import hashlib
h = hashlib.sha256(f"{key}:{value}".encode()).hexdigest()

4. Vault Operations Reference

The local vault provides encrypted key-value storage. All secrets synced from Infisical go here.

OperationDescription
vault_set key=K value=VWrite or overwrite secret K
vault_get key=KRead secret K
vault_listList all keys (values not returned)
vault_delete key=KDelete secret K

Bulk sync pattern:

// Pull from Infisical → vault
for each (key, value) in infisical_secrets:
    vault_set key=<key> value=<value>

// Optionally remove orphans
vault_list → local_keys
infisical_keys = set of keys returned by Infisical
for key in local_keys - infisical_keys:
    vault_delete key=<key>

5. Security Checklist

Before every sync cycle, verify:

  • INFISICAL_URL is set and non-empty
  • INFISICAL_CLIENT_ID is set and non-empty
  • INFISICAL_CLIENT_SECRET is set and non-empty
  • The access token was freshly obtained this cycle (never reuse across cycles)
  • No secret values appear in curl command echo output (use variables, not inline values)
  • Response body is never logged verbatim (strip secretValue fields before logging)

6. Common Failure Modes

"Failed to fetch secrets: 403 Forbidden"

The Machine Identity exists but lacks permissions. In Infisical:

  1. Go to Access Control → Machine Identities
  2. Find this agent's identity
  3. Assign it the member role (or viewer for read-only) on the project

"Connection refused / Could not connect to server"

INFISICAL_URL is wrong or the instance is down. Verify the URL is reachable:

bash
curl -s "$INFISICAL_URL/api/status" | python3 -c "import sys,json; print(json.load(sys.stdin))"

"invalid character in secret name"

Secret names in Infisical must match [A-Z0-9_]. If the vault has mixed-case keys, normalise before pushing:

bash
echo "my_secret_key" | tr '[:lower:]' '[:upper:]'

"accessToken undefined in response"

Authentication failed. The response body will contain an error message. Check:

  1. INFISICAL_CLIENT_ID and INFISICAL_CLIENT_SECRET are correct
  2. The Machine Identity is not disabled in Infisical
  3. The Machine Identity's token TTL hasn't been set to 0

7. Knowledge Graph Entities

Track fleet-wide secrets metadata without exposing values.

Entity types

  • service — the Infisical instance itself
  • secret_project — an Infisical workspace/project
  • secret — a named secret (key only, never value)

Relation types

  • secretbelongs_tosecret_project
  • secret_projecthosted_byservice
  • secretsynced_toagent_vault

Query examples

knowledge_query type=secret                  // list all known secrets
knowledge_query type=secret_project          // list all projects
knowledge_query relation=belongs_to target=<project_id>  // secrets in a project

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Infisical Sync Skill AI skill do?

Expert knowledge for the Infisical Sync Hand — Infisical API reference, vault operations, error patterns, security guidance

Why use Infisical Sync Skill on TypingMind?

Because you install it once and use it with any model. Infisical Sync Skill is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Infisical Sync Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-hands/bundled/infisical-sync. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Infisical Sync Skill?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Infisical Sync Skill?

As many as you like. As long as a model supports skills, you can use Infisical Sync Skill with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Infisical Sync Skill AI skill free?

Yes. It is published on GitHub by RightNow-AI under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇