ground-state

SkillDocs & knowledge

Before starting any non-trivial implementation, run a pre-flight reconnaissance pass to triangulate git state, project infrastructure, and prior-session memory. Auto-assembles a verified grounding preamble, a session-scoped artifact the orchestrator pastes verbatim into every subsequent sub-agent brief, eliminating stale-worktree reads and silent wrong-path errors before the first edit.

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Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

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What this skill tells your AI

The instructions your AI receives, as published by griffinwork40/agent-framework in skills/ground-state/SKILL.md and read by Ahel’s review.

Sub-agent contract

/contract

Constraint: read-only reconnaissance. You MUST NOT call edit_file, write_file, or any mutating bash command (no git commit, git push, git checkout, mv, rm, file redirection, package installs, etc.). Read-only tools only: read_file, grep, glob, list_directory, memory_search, and read-only bash (git status, git log, git diff, cat, ls, find, etc.). memory_search is non-mutating and is the only way to reach the cross-session fact archive — it is in scope for this skill, do not strip it from this list.

If the survey reveals a fix that's tempting to apply, return it as a recommendation in the snapshot — the orchestrator decides whether to act. Even if the invoking brief sounds prescriptive ("draft the edit", "apply the change"), this skill stops at the snapshot and the preamble artifact. The orchestrator dispatches a separate implementation step afterward.

Inline reconnaissance

Run the four surveys below directly using your own tools. Do NOT dispatch any sub-agents via the agent or skill tools — every lookup in this phase is a deterministic read that you execute yourself using bash, glob, read_file, grep, list_directory, and memory_search. Issue all four surveys in a single batched tool-use round where possible.

State survey (bash)

Issue these commands (combine into one or two bash calls):

  • git symbolic-ref --short HEAD — current branch
  • git rev-parse HEAD — HEAD SHA
  • git status -s — uncommitted changes
  • git log --oneline -5 — recent commit history
  • git stash list — stash state
  • git rev-list --left-right --count HEAD...@{upstream} 2>/dev/null — upstream divergence

Adapt what you surface to the domain:

DomainWhat to flag
softwareBranch, recent commits, uncommitted changes, stash, upstream divergence. Flag: diverged, uncommitted, stale.
researchVersion-controlled artifact state, current phase, publication target/deadline if discoverable.
designDesign system version, component library state, current phase, recent file changes.
businessFinancial model freshness, market data recency, current project phase.
(other)Recent changes, current project phase, any state that could cause conflicts.

When domain is unspecified, infer from working directory contents.

Infrastructure survey (bash/glob/read_file)

Check for relevant tooling and configs. Use the domain table below to decide which paths to probe, then probe them yourself. Return a 5-bullet inventory.

DomainWhat to scan
softwareCI configs (ls .github/workflows/ 2>/dev/null), package scripts (package.json, Makefile, pyproject.toml), linters/formatters, authoritative config files for the task.
researchReference manager (.bib files), LaTeX setup, data analysis tools (Jupyter, R scripts), collaboration setup.
designDesign tool configs, prototyping tools, handoff configs (Storybook), asset pipeline scripts.
businessModeling tool configs, presentation formats, data source configs, collaboration tool structure.
(other)Tooling, build/export pipelines, collaboration infrastructure, config files relevant to the stated domain.

Memory survey (memory_search + read_file)

Call the memory_search tool with keywords from the user's current request — FTS5 syntax, so term1 AND term2, "exact phrase", and prefix* all work. Run 2–3 query variants (different keyword angles) before concluding nothing is there; a single miss is not evidence of absence. Then read hot memory at ~/.afk/state/memory/HOT.md and the project overlay — AFK.md, or CLAUDE.md on a Claude Code surface — for conventions bearing on this task.

Invariant: the cross-session memory archive is only reachable via the memory_search tool. The backing store is SQLite (~/.afk/state/memory/memory.db) and is not greppable. Do not glob or grep any filesystem path looking for memory — memory_search is the only route in.

Return: relevant facts with 1-line summaries, plus the stores actually consulted — e.g. memory_search: 3 queries, 0 hits; HOT.md: read; AFK.md: read — so the orchestrator can tell "no relevant memory exists" from "the fork never looked." If memory_search is unavailable on this surface, say so explicitly.

Spine survey (read_file)

Read SPINE.md from the repo root (same directory as AFK.md). If the file does not exist or is empty, skip silently -- do not mention it in the snapshot. If it exists and has entries, extract its invariant (INV-), rejected-pattern (REJ-), and taste entries (TST-*) and include them in the snapshot so architectural constraints are visible before proposing changes.

Eval-pipeline recency survey (bash — software domain only)

For software-domain sessions, check whether the eval-run pipeline is current. This guard catches silent regressions that accumulate when the pipeline goes unrun during high-velocity sprints.

Run:

tail -1 ~/.afk/agent-framework/improve/eval-runs/.index.jsonl 2>/dev/null

Parse the timestamp field from the output. Then compute the age in days relative to today's date.

Threshold: Read AFK_EVAL_STALENESS_DAYS from the environment (default: 7). If the env var is 0, skip this check silently.

Surface as a warning finding when any of these are true:

  • The index file does not exist → ⚠ Eval-pipeline has NEVER run. Run \afk improve eval-run` to establish a baseline.`
  • The file exists but the timestamp is absent or unparseable → ⚠ Eval-pipeline recency guard: index unreadable.
  • Age in days ≥ threshold → ⚠ Eval-pipeline is STALE: last eval-run was N days ago (exceeds AFK_EVAL_STALENESS_DAYS=N threshold). Run \afk improve eval-run`.`

Skip this check silently when:

  • Domain is not software, OR
  • Working directory has no package.json / pyproject.toml / Cargo.toml / go.mod at root level (heuristic that this is not a software project), OR
  • AFK_EVAL_STALENESS_DAYS=0.

Include the result (fresh or warning) in the Implementation risks line of the snapshot.

Synthesis

Assemble the survey results into a ground-truth snapshot (6 lines minimum, 7 when SPINE.md has entries):

  • Branch: <current>, <clean|diverged>, upstream: <fresh|stale>
  • Recent work: last 3 commits or stash items
  • Infrastructure: CI present? package scripts? authoritative configs for this task
  • Memory hits: facts (1-line each) + which stores were consulted, or none (consulted: …)
  • Spine constraints (only when SPINE.md exists with entries): INV-, REJ-, TST-* entries. Omit this line entirely when SPINE.md is absent or empty.
  • Implementation risks: e.g. "branch is main, don't edit directly"; "CI runs on push"; "memory says prior attempt used approach X"; include any eval-pipeline staleness warning here.
  • Epistemic confidence: <high|medium|low> — based on how much state could be verified. Flag if working directory is sparse, if domain is unfamiliar, or if key artifacts may be missing.

Surface the snapshot and stop. The orchestrator then uses these verified facts — not assumptions — to decide the next step. This skill never edits files.

Brief Anchor (auto-runs after synthesis)

After the snapshot is assembled, construct the Brief Anchor — a path-verified grounding preamble the orchestrator pastes verbatim into every subsequent sub-agent brief.

Construction procedure:

  1. From your state survey output, extract the verified cwd (absolute path from pwd), branch (from git symbolic-ref --short HEAD), and HEAD SHA (from git rev-parse HEAD).
  2. From your infrastructure survey output, extract the 2–4 canonical file paths most relevant to the task. For each, run stat <path> — include the path only if stat exits 0. Paths that fail stat are omitted; if zero paths survive, set the list to (none verified).
  3. Assemble the preamble block:
## Orchestrator grounding — read this first
- **cwd**: <absolute path>
- **branch**: <branch name>
- **HEAD**: <full SHA>
- **canonical paths** (stat each on entry; emit GROUNDING_FAILED:<path> and abort if missing):
  - <verified_path_1>
  - <verified_path_2>  ← omit line if not applicable
  1. Append to the snapshot output under the heading ## Brief Anchor so the orchestrator can copy it directly.

Orchestrator usage contract:

  • Prepend the Brief Anchor verbatim to every sub-agent brief that reads files, runs git/gh commands, or references explicit paths. Skip for pure-reasoning tasks.
  • Sub-agents receiving the anchor stat each listed path on entry. A missing path returns GROUNDING_FAILED:<path> — the orchestrator re-dispatches once with the corrected path. If the retry also returns GROUNDING_FAILED, emit BRIEF_GROUND_ABORT with both the expected and actual paths plus the corrective command the operator should run — git worktree list to find the intended checkout, then cd <correct-worktree> — and halt the wave.
  • The anchor is session-scoped: one construction pass per ground-state invocation. Do not re-invoke ground-state mid-session to refresh it; instead pass the existing anchor through.

Skip when: Task is Q&A only; single-line fix on an already-identified file; user says "skip pre-flight".

Signals

GitHub stars
23
Last commit
Oct 2026
Advanced
Item type
skill
Key
ground-state
Source
github.com/griffinwork40/agent-framework