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 pipefy/ai-toolkit --skill pipefy-introspectiongit clone --depth 1 https://github.com/pipefy/ai-toolkitWrote 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/pipefy/ai-toolkit/pipefy-introspection)<a href="https://agentmods.dev/skills/pipefy/ai-toolkit/pipefy-introspection"><img src="https://agentmods.dev/badge/skills/pipefy/ai-toolkit/pipefy-introspection/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/pipefy/ai-toolkit/pipefy-introspection"><img src="https://agentmods.dev/badge/skills/pipefy/ai-toolkit/pipefy-introspection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
- Socket pass
- Snyk pass
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 | $0.00055 | $0.01950 |
| Opus 5.5 | $0.00022 | $0.00780 |
| Sonnet 5.5 | $0.00011 | $0.00390 |
| Haiku 4.5 | $0.00006 | $0.00195 |
Grade A, and why
pipefy-introspection scanned grade A with 1 finding 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 14d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
**Tier 3:** direct curl/httpx fallback — see `pipefy-api-fallback`. How it starts
The opening of the file, as written. The whole thing — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Introspection & Raw GraphQL
Read only the reference for your active surface: MCP or CLI. The workflows below use shared operation names and arguments.
Schema discovery, organization info, and a fallback executor.
This is Tier 2 in the resolution strategy: when a dedicated operation fails or doesn't exist, use introspection to understand the API, then execute_graphql to run the operation directly.
If a dedicated write reports failure, re-read the target before trying a mutation through execute_graphql. Continue only when the read shows the write did not land. If the result is inconclusive, report it and stop; a second create can duplicate data.
Tier 1: dedicated operation exists — use it.
Tier 2: use introspection + execute_graphql (this skill).
Tier 3: direct curl/httpx fallback — see pipefy-api-fallback.
Tools
| Operation | Read-only | Purpose |
|---|---|---|
introspect_type |
Yes | Type shape: fields, inputFields, enumValues. Optional max_depth. |
introspect_query |
Yes | Root query arguments and return type. Optional max_depth. |
introspect_mutation |
Yes | Root mutation arguments and return type. Optional max_depth. |
search_schema |
Yes | Keyword search on type names/descriptions. Optional kind filter. |
execute_graphql |
No | Execute arbitrary GraphQL. |
get_organization |
Yes | Load organization info (name, plan, UUID, member count, pipe count). |
list_organizations |
Yes | List organizations the caller can access — no id required. The zero-knowledge entry point for org discovery. |
max_depth (introspect_type / query / mutation)
max_depth defaults to 1.
1— type/field info only (no inlined sub-types).2+— resolves referenced input/output types inline (resolvedType), so one call can replace introspecting the mutation then each input type separately.
Example:
introspect_mutation mutation_name="createCard" max_depth=2
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.
- 14d ago Changed 278ac23ed3db
- 17d ago Changed · -53 lines · -6 tokens per session 9826928c9f91
- 1mo ago First seen · 243 lines · 61 tokens per session scan A 3c7099c6e7ef
pipefy-introspection is a skill published in the GitHub repository pipefy/ai-toolkit (51 stars, last pushed today), licensed Apache-2.0. It adds 55 tokens to every session and 1,950 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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