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 camunda/skills --skill camunda-feelgit clone --depth 1 https://github.com/camunda/skillsWrote 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/camunda/skills/camunda-feel)<a href="https://agentmods.dev/skills/camunda/skills/camunda-feel"><img src="https://agentmods.dev/badge/skills/camunda/skills/camunda-feel/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/camunda/skills/camunda-feel"><img src="https://agentmods.dev/badge/skills/camunda/skills/camunda-feel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 37 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- medium Data Exfiltration · line 139 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00207 | $0.02082 |
| Opus 5 | $0.00103 | $0.01041 |
| Sonnet 5 | $0.00041 | $0.00416 |
| Haiku 4.5 | $0.00021 | $0.00208 |
Grade A, and why
camunda-feel 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 11d 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 — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Camunda FEEL Expressions
Write, debug, and evaluate FEEL expressions used in Camunda 8 BPMN processes, DMN decisions, and forms.
Prerequisites
- c8ctl CLI installed and configured (
c8ctl add profile) — providesc8ctl feel evaluate - Camunda 8.9+ cluster for default cluster-engine evaluation (uses
POST /v2/expression/evaluation)
Cross-References
- camunda-bpmn: Use when FEEL expressions are part of BPMN conditions or I/O mappings
- camunda-dmn: Use when FEEL appears inside DMN — input expressions, input entries (unary tests), output entries, literal expressions
- camunda-forms: Use when FEEL expressions control form validation or conditional visibility
- camunda-ai-agents: Use when FEEL expressions are prompts,
fromAi()parameter declarations, ortoolCallResultshaping in an AI Agent process
Instructions
FEEL in Camunda
FEEL is used for:
- Gateway conditions: Route process flow based on variable values
- Input/output mappings: Transform variables between process scopes
- Timer definitions: Define durations, dates, and cycles
- DMN decision tables: Define input/output rules
- Form validation: Validate user input
All FEEL expressions in BPMN XML must be prefixed with =:
<bpmn:conditionExpression xsi:type="bpmn:tFormalExpression">=amount > 1000</bpmn:conditionExpression>
Expression Evaluation
To validate and debug FEEL expressions, use c8ctl feel evaluate. By default this runs against the configured cluster's Scala FEEL engine — the same engine that Zeebe uses at runtime, so results match production behavior exactly.
# Simple expression
c8ctl feel evaluate '1 + 2'
# Expression with individual variables (leading = optional)
c8ctl feel evaluate '=amount * 1.15' --var amount=100
# Multiple variables
c8ctl feel evaluate 'a + b' --var a=1 --var b=2
# JSON values for complex types
c8ctl feel evaluate 'sum(items)' --var 'items=[1,2,3]'
# Bulk variables as a single JSON object
c8ctl feel evaluate 'orderTotal > 1000 and customer.tier = "premium"' \
--vars '{"orderTotal": 1500, "customer": {"tier": "premium"}}'
# Dot-path nesting on the CLI
c8ctl feel evaluate 'customer.name' --var customer.name=Alice
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 174 lines · 207 tokens per session scan A 3d70a629d442
camunda-feel is a skill published in the GitHub repository camunda/skills (19 stars, last pushed 8d ago), licensed Apache-2.0. It adds 207 tokens to every session and 2,082 once invoked, about $0.0010 per session on Opus 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 2026-08-30.
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