buhhdy-model-calibration-refresh
Use when buhhdy's provider/model/auth facts need re-verifying — the operator says "run calibration refresh", the monthly refresh is due, a dispatch just…
Skill by uhstray-io
Chalk Labs
Need help deploying buhhdy-model-calibration-refresh?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/uhstray-io-buhhdy-model-calibration-refresh
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: security
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/buhhdy-model-calibration-refresh
What's inside
- Skill name
buhhdy-model-calibration-refresh- Description
- Use when buhhdy's provider/model/auth facts need re-verifying — the operator says "run calibration refresh", the monthly refresh is due, a dispatch just failed on a bad or retired model ID, or a provider announced a model change. Covers model-ID drift, deprecation/shutdown dates, per-token pricing, auth/tier/billing status, and CLI/harness behavior claims going stale in buhhdy's `config.yaml` and `MODEL-MANIFEST.md`.
- License
- MIT
- Instructions
- 84 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# buhhdy-model-calibration-refresh Keeps buhhdy's provider/model/auth facts current, maintained in the config-defaults tier — the dated calibration notes in `config.yaml` and the manifest in `MODEL-MANIFEST.md`. buhhdy has no separate memory store for these, and this tier is the FLOOR of buhhdy's memory precedence (LD-2): user/team memory may hold and override calibrations at read time (operator-confirmed calibrations carry user authority). This skill maintains the config-tier DEFAULTS — the floor everyone falls back to — not a sole source of truth. It is the named maintenance owner of those notes: it re-verifies them on cadence and keeps them accurate. Refreshing is **buhhdy-level orchestration** — the ledger, memory records, config diffs, and report are permitted non-code authoring; only verification probes are dispatched. The whole run is executable from the single instruction **"run calibration refresh"**: no interactive setup, no tier interview, no menu. The human is consulted for exactly two things — source contradictions and routing-change proposals. ## Preconditions - `buhhdy/config.yaml` and `buhhdy/MODEL-MANIFEST.md` hold the current calibration notes (dated, observational: facts/dates/outcomes, supersede-not-delete). - Web verification is reachable for deprecation/pricing claims. If it isn't, run the offline subset and mark everything else `stale — not re-verified this run` in the ledger and report. **Never stamp a fresher verified-date on a claim that wasn't actually re-checked this run.** ## The run, in order | # | Step | Kind | Worker / tier | Output | |---|------|------|---------------|--------| | 1 | **Inventory → claims ledger** | buhhdy-level | — | Sweep `buhhdy/config.yaml` AND every `buhhdy/skills/*/SKILL.md` for dated operator notes and factual claims: model IDs and tier slots, deprecation/shutdown dates, per-token pricing, auth/tier/billing shape, and CLI/harness behavior claims (e.g. the ACP model-pinning constraint, flag spellings, minimum runtime versions). Cross-reference each against the calibration notes in `config.yaml` and `MODEL-MANIFEST.md`. Ledger row: `claim / where stated / last verified / verification method / age`. The ledger MUST cover at minimum: the model tier table, the Fable escalation-gate cost basis, the Gemini ACP/auth notes, and the opencode OpenRouter billing note — a run whose ledger misses one of these is incomplete, not done | | 2a | **Verify: CLI / harness behaviors** | buhhdy-level shell | — | Cheapest check runs FIRST — free and local: CLI `--version`/`--help`, `opencode models`, the installed omnigent runtime source. Never verify a harness claim from docs alone when the binary is right there; a claim disproven here never spends a dispatch | | 2b | **Verify: availability + auth** | Dispatched | one LIGHTWEIGHT dispatch per provider (gemini-lite for gemini), fanned out across all providers in ONE parallel wave | `sys_list_models` plus one live round-trip per provider — the round-trip doubles as the auth check. A failed ID here is a finding, not an error | | 2c | **Verify: deprecations / pricing / releases** | Dispatched | gemini-standard or codex (STANDARD), fanned out across claims in one parallel wave; the SECOND, different-vendor dispatch is spent only when the lead source surfaces a would-flip discrepancy | Web verification against provider primary docs. A consequential claim (anything a routing rule, tier slot, or cost basis rests on) still flips ONLY on cross-vendor confirmation: two independent sources, or two different-vendor agents each citing primary docs. One source is a lead, not a flip — and an unchanged lead needs no second vendor | | 3 | **Update the notes** | buhhdy-level | — | For every claim that CHANGED or is newly discovered, update the dated calibration notes in `config.yaml` and `MODEL-MANIFEST.md` — append a fresh dated line and mark the superseded one rather than deleting it. Claims verified UNCHANGED are recorded in the ledger and report only — never as new note lines; freshness lives in the report, and the notes stay compact. Contradictions BETWEEN sources are never resolved silently: record both sources verbatim, mark the claim `disputed`, and escalate (house style: config's gemini-2.5-flash-lite disputed-retirement note — state both positions, name both sources, pick the migration-safe action only if one exists) | | 4 | **Config PR** | buhhdy-level, cross-reviewed | opposite-vendor local review before the PR | Propose the `config.yaml` + `MODEL-MANIFEST.md` diffs that update the dated calibration notes in place. Model-ID currency WITHIN an existing tier slot (a renamed successor at the same tier, verified per 2b) is calibration knowledge and updates in place with evidence. NEVER rewrite routing STRUCTURE autonomously — the decision tree, which tier a slot maps to, adding/removing slots, gates, or Merge Authorization: if verification implies such a change (a model retired out of a tier slot, a repricing that breaks a cost-basis assumption), it goes in the PR under a clearly flagged **`## ROUTING CHANGES — HUMAN JUDGMENT REQUIRED`** section as a proposal with the evidence, never as an applied edit. Low confidence → escalate instead of proposing. One PR per refresh run, standard pipeline: local cross-review → PR → CodeRabbit → pr-shepherd | | 5 | **Report** | buhhdy-level | — | Delta summary: **verified unchanged** (count + ledger refs) / **updated** (old → new, record written) / **contradicted → escalated** (both sources) / **newly discovered** (e.g. a new model or tier worth evaluating — surfaced, not wired). End with the next recommended refresh date (default: +1 month) | **Dry-run semantics.** If invoked as a read-only/dry run, or web access is unavailable or forbidden this run: execute the inventory and whatever verification the mode allows, and produce the full ledger + delta report — but apply NO side effects. No memory records are written, no config PR is opened; step 3 and step 4 outputs are reported as proposed-and-unapplied text instead. Existing verified-dates are preserved and every web-dependent claim is marked `stale — not re-verified this run`. Normal (non-dry) runs are unchanged. ## Cadence and triggers - **Default: monthly.** Also run immediately when a provider announces a model change, or when buhhdy trips over a failed model ID mid-session — a failed ID is a refresh trigger, not just a dispatch failure. - v1 trigger is MANUAL: the operator asks buhhdy to "run calibration refresh". Keep the run single-instruction-executable so a scheduled trigger (omnigent timer or n8n webhook opening a session with that instruction) can drive it later with zero changes. Anything that would require interactive setup at run start is a bug in this skill. ## Hard rules — STOP if you're about to break one - **No autonomous routing changes.** Routing STRUCTURE — the decision tree, which tier a slot maps to, adding/removing slots, gates, and Merge Authorization — changes only through the flagged human-judgment PR section. "The model is retired, so swapping the slot is obviously right" still goes through the human. (Model-ID currency WITHIN a slot is calibration knowledge, updated in place per step 4 — that's the boundary.) - **No freshness inflation.** A claim keeps its old verified-date unless this run actually re-verified it by the stated method. - **No silent contradiction winners.** Two sources disagree → both go to the human, verbatim. - **No sweep-marker note lines.** New calibration lines are for changes and discoveries; unchanged-claim freshness lives in the report. - **No interactive prerequisites.** If the run stalls on a question that isn't a contradiction or a routing proposal, the skill is being violated. - Calibration notes stay observational (facts/dates/outcomes, dated, supersede-not-delete) — the same discipline as any memory record.
From uhstray-io/huhhb, MIT.
More from uhstray-io/huhhb
- 0.579score
evolve-review
uhstray-io
Use when running evolve's learning pass over recent sessions — triaging captured observations into overlay patches, new overlays, repo-memory entries, or…
SkillBFreshness: B★ 5Claude Code +9 - 0.579score
discovering-context
uhstray-io
Use when a goal is big, vague, or dependency-heavy and you need to map every piece of context required before planning — "map the context", "what context do I…
SkillBFreshness: B★ 5Claude Code +9 - 0.579score
evolve-map
uhstray-io
Use when understanding the whole skill ecosystem and how skills relate — inventorying every skill across tiers (repo / user / plugin), drawing relationships…
SkillBFreshness: B★ 5Claude Code +9 - 0.579score
evolve-skills
uhstray-io
Use when reviewing the skill library as a whole and driving the skill lifecycle — auditing every hub skill and overlay against usage telemetry, bench history…
SkillBFreshness: B★ 5Claude Code +9 - 0.579score
core-workflows
uhstray-io
Use when starting new planning/research on a project or picking up development against an existing plan — buhhdy's two standard, repeatable sequences…
SkillBFreshness: B★ 5Claude Code +9 - 0.576score
investigate
uhstray-io
Delegate read-only investigation, debugging, audit, search, or code-understanding tasks to sub-agents; synthesize only from their structured reports.
SkillBFreshness: B★ 5Claude Code +9 - 0.576score
cross-review
uhstray-io
Verify an implementer's diff with an INDEPENDENT, different-vendor sub-agent (diff plus contract only), LOCALLY and BEFORE the PR is opened; turn blocking…
SkillBFreshness: B★ 5Claude Code +9 - 0.576score
fanout
uhstray-io
Run independent subtasks in parallel — one git worktree and one implementation sub-agent per task, each cross-reviewed LOCALLY before it opens its own PR.
SkillBFreshness: B★ 5Claude Code +9 - 0.576score
routing-guide
uhstray-io
Reference skill for buhhdy's provider routing logic — the decision tree, model tier table, per-provider strengths, skill-to-provider affinity, and…
SkillBFreshness: B★ 5Claude Code +9 - 0.575score
evolve-distill
uhstray-io
Use when turning a repeated, successful multi-step workflow from past sessions into a reusable overlay skill — distilling a proven procedure into a…
SkillBFreshness: B★ 5Claude Code +9 - 0.556score
brainstorming
uhstray-io
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior.
SkillBFreshness: B★ 5Claude Code +9
Signals
- Stars
- 5
- Forks
- 0
- Open issues
- 1
- Last commit (this folder)
- Jul 16, 2026 (3 months ago)
- Last release
- Aug 11, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/uhstray-io/huhhb
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from uhstray-io
- 0.579score
evolve-review
uhstray-io
Use when running evolve's learning pass over recent sessions — triaging captured observations into overlay patches, new overlays, repo-memory entries, or…
SkillBFreshness: B★ 5Claude Code +9 - 0.579score
discovering-context
uhstray-io
Use when a goal is big, vague, or dependency-heavy and you need to map every piece of context required before planning — "map the context", "what context do I…
SkillBFreshness: B★ 5Claude Code +9 - 0.579score
evolve-map
uhstray-io
Use when understanding the whole skill ecosystem and how skills relate — inventorying every skill across tiers (repo / user / plugin), drawing relationships…
SkillBFreshness: B★ 5Claude Code +9 - 0.579score
evolve-skills
uhstray-io
Use when reviewing the skill library as a whole and driving the skill lifecycle — auditing every hub skill and overlay against usage telemetry, bench history…
SkillBFreshness: B★ 5Claude Code +9 - 0.579score
core-workflows
uhstray-io
Use when starting new planning/research on a project or picking up development against an existing plan — buhhdy's two standard, repeatable sequences…
SkillBFreshness: B★ 5Claude Code +9 - 0.576score
investigate
uhstray-io
Delegate read-only investigation, debugging, audit, search, or code-understanding tasks to sub-agents; synthesize only from their structured reports.
SkillBFreshness: B★ 5Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get buhhdy-model-calibration-refresh running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
buhhdy-model-calibration-refresh skill. Agent Mart. https://agentmart.dev/skills/uhstray-io-buhhdy-model-calibration-refresh (last updated 2026-10-24)