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 agentmods add skills/context-foundry/context-foundry/build-flowisenpx skills add context-foundry/context-foundry --skill build-flowisegit clone --depth 1 https://github.com/context-foundry/context-foundryWhat 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 | $0.00037 | $0.00310 |
| Opus 5 | $0.00018 | $0.00155 |
| Sonnet 5 | $0.00007 | $0.00062 |
| Haiku 4.5 | $0.00004 | $0.00031 |
Grade A, and why
build-flowise 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 3d 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.
What it actually says
Build a Flowise AgentFlow v2 for:
$ARGUMENTS
Selected Context
!python3 "${CLAUDE_SKILL_DIR}/../../../scripts/flowise-select-context.py" --manifest "${CLAUDE_SKILL_DIR}/../../../.flowise-kit/manifest.json" --query "$ARGUMENTS"
Steps
- Read
AGENTS.mdand the selected context report. - Read only the example flows, templates, and expertise slices named in the selection report.
- Build or update exactly one flow JSON in
output/. - Run:
scripts/validate-flowise.sh <file>scripts/audit-flowise.sh <file>
- If either check fails, use the
repair-flowiseworkflow logic and rerun both checks. - Stop only when both checks pass or when you can point to concrete blocking findings.
Output
- Flow file in
output/ - validation artifact in
artifacts/flowise/ - audit artifact in
artifacts/flowise/
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.
- 3d ago First seen · 40 lines · 37 tokens per session scan A 91b6d8421a1d
build-flowise is a skill published in the GitHub repository context-foundry/context-foundry (19 stars, last pushed 2mo ago), licensed MIT. It adds 37 tokens to every session and 310 once invoked, about $0.0002 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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