Steer Agent Skill

Project-profile recalibration. Audits session calibration drift, presents per-cluster evidence for a user verdict, writes the updated…

Context cost
13.4k tokensestimated from the bundle, loaded when it triggers
Bundle
1 file · 53.8 kBtext throughout, nothing executable
Licence
MITthe author’s own terms
Last change
—no release on file
Servers it uses
Noneruns standalone

What it does

Project-profile recalibration. Audits session calibration drift, presents per-cluster evidence for a user verdict, writes the updated project-profile rule, and inscribes a settled-direction clause.

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

collaboration
Filed under

AI & Agents

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md53.8 kB · preview
--- name: steer user_invocable: true ---
7# Steer Skill
8
9Project Profile Recalibration via Calibration Drift Audit — when the user wants to refresh the user-global or project-local project-profile rule layer based on observed Cognitive Partnership Move calibration drift in a target session, scan calibration moves for Constitution overapplication, Extension misapplication, and existing-profile drift, surface per-cluster evidence for user-constituted verdict, assemble a profile diff, and write an updated rule file with timestamped backup. Type: (CalibrationDriftOpaque, AI, INDUCE-with-inscription, SessionCalibrationMoves) → UpdatedProjectProfile.
10
11Invoke directly with /steer when the user wants the project profile to track observed calibration practice rather than remain frozen at initialization time.
12
13## Definition
14
15**Steer** (Periagoge specialization, "turning the helm"): A dialogical act of resolving the opacity of project profile drift into a recognized profile update, where AI scans target session calibration moves against the existing project-profile rule layer, classifies each move into drift clusters, presents per-cluster evidence for user-constituted verdict, assembles a diff over the six profile variables, and inscribes the approved diff back into the rule file — profile mutation belongs to the user's per-cluster verdict and final approval acts.
16
17This skill is a Periagoge family extension. Generic Periagoge (/induce) crystallizes an unnamed essence from an instance set into a session-text abstraction. Steer narrows the instance axis to *Cognitive Partnership Move calibration moves observed in a target session* and extends the output axis with a writable rule inscription step — the inscribed project-profile.md becomes the new prejudgment baseline for the next invocation. This closing of the loop (audit → inscription → next invocation reads the inscribed baseline) is referred to as **Circular Return** in this skill: the inscribed artifact becomes the prejudgment input the next audit reads from, making the operation self-referential across sessions. The dialectical triangulation core is preserved (Phase 3 per-cluster verdicts and Phase 5 final approval realize the Confirm / Dismiss / Reorient pattern), but the write step crosses the preserves/mutates boundary that /induce itself respects.
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19This skill stands in time-axis dual relationship to /probe (prospective fit recognition). Both refuse AI-side resolution and treat user recognition as the constitutive act. The writable persistence layer is what makes Steer useful for keeping the profile current as a project's needs change.
20
21Steer maintains a **second inscription target** alongside the profile: a **Settled Directions registry**. When a confirmed cluster shows that a resolution direction has been recurringly constituted the same way — observed practice consistently auto-resolves (relays) what the profile would gate — that direction has *settled*, and it graduates into a citable convention clause. Downstream gate decisions cite such a clause to present a finding as relay rather than re-gating a direction the project has already decided. The registry lives in the project guide (AGENTS.md / CLAUDE.md), in a ## Settled Directions section placed adjacent to the project's Northstar/mission section (the section is created if absent). Both write targets are governed by the same Phase 5 final approval; the profile rolls back through a timestamped backup (when an existing profile is present) and the registry through version control (the project guide is git-tracked, matching the /realign convention for that file). A settled-directions clause is the output when a cluster's implication names a settled direction rather than a profile-variable value.
22
23Phase 3 per-cluster recognition is verification-category — the user verifies the AI's classification accuracy of an already-detected drift cluster, not a forward-trajectory selection. The Differential Future Requirement does not apply to the per-cluster verdict gate by the same logic that exempts Anamnesis Phase 2 recognition gates (past-identity synthesis, not future-trajectory commitment): a 1-correct option structure (was-drift / was-aligned) is legitimate by purpose because downstream diff assembly is a deterministic consequence of the verdict, not a user-selected trajectory. Phase 5 final approve gate IS forward-looking (write or not write) and follows the Differential Future Requirement.
24
25Paths below written {config_dir}/… take {config_dir} = CLAUDE_CONFIG_DIR when set, else ~/.claude. Resolve it ONCE per invocation with Bash printf '%s\n' "${CLAUDE_CONFIG_DIR-$HOME/.claude}" and substitute the absolute result before any Read/Glob/Grep call.
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md6,710 words
Files1
LicenceMIT
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈60
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
13,390
on trigger
The instruction body, read only when the skill fires.
6.7%
of a 200k window
Ten skills this size would take about 67% of the window before you open a file.
050k100k150k200k context window

13.4k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Heavy. Teams tend to install this one per project rather than globally, and load it only when the job comes up.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

Its SKILL.md does not declare which tools it asks the agent for, so what it touches is whatever the instructions themselves ask for — read them before you install it.

What it asks for
Writes filesnot declared
Network accessnot declared

This SKILL.md carries no allowed-tools line, so neither is declared. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

1 file, 53.8 kB on disk. A bundle is text throughout: the instructions the model reads, plus the templates it fills in.

  • SKILL.md53.8 kB
What is not in it

No dependencies and nothing executable: a skill is text the agent reads, so the bundle is 1 file you can review in full before installing. The MIT licence covers the templates and examples as well as the instructions.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# Steer · 13.4k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/steer/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/steer" ] && { [ ! -e .claude/skills/steer ] || { mv .claude/skills/steer "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/steer" .claude/skills/ && echo "Installed .claude/skills/steer"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add jongwony/steer

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/steer/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/steer/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/steer" ] && { [ ! -e ~/.claude/skills/steer ] || { mv ~/.claude/skills/steer "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/steer" ~/.claude/skills/ && echo "Installed ~/.claude/skills/steer" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/steer/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Versionnot versioned
Publishedno release date on file
PriceFree
Referencejongwony/steer

Versions

Its author publishes no version number, so there is nothing here to pin to: what you install is the folder as it stands today. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

Pinning

Nothing to pin to: this skill carries no version number of its own. What you install is what the folder holds on the day you install it.

Reviews

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