SuperJargon
pstack routes work by role. The skill speaks only role slugs; your environment binds each role to a concrete model through a config file. Resolution order: (1) `.agents/pstack-models.md` in the project, then `~/.agents/pstack-models.md`; (2) inline fallbacks below.
Install / Use
npx skills add Vaibhav9526/SuperJargonInstalls into whichever agent you are using.
Devin Config
Devin AI agent config
Quality Score
Category
LegalSupported Platforms
Tags
Our assessment of SuperJargon
SuperJargon scores 65/100 on our quality scale, 210th of 227 Legal skills we index.
Its Devin Config is 6.2 KB long, well organised into 8 sections with 1 code example: a thorough specification that gives an agent plenty to work with.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- We could not determine when the repository was last updated.
- Our last check on 2026-10-20 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 68/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-10-23. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
SuperJargon compared with similar skills
All 4 of these similar skills score higher than SuperJargon; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| SuperJargon (this skill)by Vaibhav9526 | 65 | 0 | — | Devin Config |
| constraint-driven-developmentby addyosmani | 100 | 108.2k | 9d ago | SKILL.md |
| ai-native-cliby sickn33 | 100 | 47.9k | 4d ago | SKILL.md |
| legal-responseby anthropics | 99 | 25.5k | 28d ago | SKILL.md |
| OpenMetadataby open-metadata | 98 | 15.6k | today | MCP Server |
Frequently asked questions
- How do I install SuperJargon?
- Run
npx skills add Vaibhav9526/SuperJargon. The install tabs above show the steps for each supported agent. - Which AI agents does SuperJargon work with?
- It is written for Devin, as a Devin Config file. Other agents that read the same format can often use it too.
- Is SuperJargon safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It declares no license and scores 68/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is SuperJargon still maintained?
- We could not determine when the repository was last updated.
Skill content
View source on GitHubSetup: model roles and reasoning budget
pstack routes work by role. The skill speaks only role slugs; your environment binds each role to a concrete model through a config file. Resolution order: (1) .agents/pstack-models.md in the project, then ~/.agents/pstack-models.md; (2) inline fallbacks below. On a single-model setup every role resolves to that model and panels degrade to sequential independent passes on fresh context — never skip or weaken a gate because of it.
The roles
| Slug | Capability contract | Used for |
|---|---|---|
| worker | Fast, cheap, reliable instruction-following; mechanical work needing no judgment | Trivial edits, refactoring moves, codebase explorers, swarm workers |
| builder | Strongest instruction-following at high complexity, long context | Precisely specified implementation: named data shape, scope, success criteria already settled by the parent (feature, refactoring, bug fix, perf, hillclimb) |
| judge | Deepest reasoning plus calibrated epistemics and clear prose | Prose, synthesis, explanation, lead reviews, cross-judging |
| peer | Strong reasoner from a different family than judge; when only one family exists, a fresh-context pass instead | Panel diversity, second opinions, red-team lanes |
The peer constraint is family diversity, not depth: agreement across families is high signal, agreement within one family is not. A slug never encodes a vendor.
Upstream Cursor pstack maps five code-delegate playbooks (feature, refactoring, bug fix, perf, hillclimb) onto one fast code model. This portable skill does the same by routing all five through builder — bind builder once; do not hardcode Cursor-only slugs into playbooks.
Binding syntax
One line per role. The value is whatever string your harness needs to spawn that model; a prefix: names an alternative CLI/harness. Comments carry the contract for future readers. An optional # budget: line records the reasoning budget chosen in setup (see below).
# pstack role bindings. One line per role. Delete a line to fall back to defaults.
# budget: unlimited (max)
worker: grok-4-fast
builder: codex:gpt-5.6-high # spawns via Codex CLI
judge: claude:opus-5-thinking
peer: gemini:3.1-pro # family must differ from judge
Optional Cursor-context defaults
If you run inside Cursor and want upstream's current code-delegate defaults, you may bind builder to a Cursor agent model id such as grok-4.6-fast-xhigh (and keep judge on a deeper reasoning slug). That is optional and Cursor-context only — never required for Claude Code, Codex, opencode, Kiro, or other non-Cursor agents. Prefer role contracts over vendor slugs in shared/public catalog copies.
Setup flow (explicit, interactive)
Run this when the user asks to configure pstack models, set a pstack budget, or when a spawn fails because a binding points at nothing runnable. Setup is the one place pstack talks to the human about configuration; runtime never does: with no config file and no detection, every role falls back and work proceeds.
-
Detect first. Enumerate the models this session can actually spawn (your platform's model list, CLI sign-ins such as
codex/gemini/grok, or prior successful spawns). Never write a binding you have not confirmed runnable. -
Load current state. If a config file already exists, read its
# budgetline and role values as the current choices. Otherwise start from the role contracts and any inline examples above. -
Budget, map, and confirm.
(a) Ask for a budget. Prefer one structured question over free text. Offer these four options with these exact labels, and name the current budget when the file records one.
unlimited — keep maxlarge — xhigh reasoningmedium — high reasoningsmall — medium reasoning
(b) Apply it when bindings carry effort tokens. Build the working table from the role defaults (and on a re-run keep any role the user already changed by family, prefix, or alias).
unlimitedleaves every effort as in that table.large,medium, andsmallrewrite the effort token of every real slug that has one toxhigh,high, ormedium. The effort token is the last token, or the one before a trailingfast, on the laddermax>xhigh>high>medium>low. If the result is not in the detected set, use the same family's detected slug with the highest effort at or below the target, else mark the role as needing a choice. Bindings with no effort token (plaingrok-4-fast,codex:gpt-5.6-high, single-model collapses) are left unchanged aside from recording the budget line. Aliases such asinherit-parent/auto(parent chat model), when the harness supports them, do not change.(c) Propose bindings and confirm. Fill the four roles from detection:
buildergets your strongest instruction-follower,judgeyour deepest reasoner,peerthe strongest model from a different family thanjudge,workerthe fastest cheap model. Show the table with budget applied. Ask whether to accept as proposed / edit specific roles (offer detected models per role) / paste slugs for anything undetected. Single-model setup: skip the role questions, state the collapse plainly, still record the budget if the user picked one, write nothing else unless the user wants the file anyway. -
Validate. Every real slug in the file must be in the confirmed-runnable set. A bad binding silently breaks every delegation downstream, so stop and re-ask instead of writing a guess. Harness prefixes (
codex:,claude:) validate against the named tool's own model list. -
Write and confirm. Overwrite the whole file so re-runs stay idempotent. Include
# budget: <label> (<target>)when a budget was chosen. Tell the user which file was written and that new sessions pick it up.
Runtime resolution
When a playbook says "spawn a subagent using the builder role": read the config files in order, take the first hit, and spawn through whatever harness the prefix names (no prefix = this session's native subagent mechanism). No hit anywhere: use the best model available to you now and keep going. If a spawn errors because the bound model is unresolvable, fall back once to the inline default, note it in the reply, and suggest a setup pass at the end of the task.
Related Skills
constraint-driven-development
108.2kEstablishes a project's quality bar as a written contract and stops agents quietly lowering it. Interviews the user on which dimensions matter, supplies sane default thresholds when they have no number in mind, records everything in CONSTRAINTS.md, and watches the diff for a weakened bar — new @ts-i…
ai-native-cli
47.9kDesign spec with 98 rules for building CLI tools that AI agents can safely use. Covers structured JSON output, error handling, input contracts, safety guardrails, exit codes, and agent self-description.
legal-response
25.5kGenerate a response to a common legal inquiry using configured templates, with built-in escalation checks for situations that shouldn't use a templated reply
OpenMetadata
15.6kThe Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
