Agent skill

H Verify

by m0n0x41d in m0n0x41d/haft

Verifies that a recorded DecisionRecord still holds — baseline-vs-measure evidence loop with drift detection per FPF Evidence Decay.

Custom licenceAuto-check: notesDevOps & Cloud

Install H Verify

skills CLI
$ npx skills add m0n0x41d/haft --skill h-verify -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install m0n0x41d/haft h-verify --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/m0n0x41d/haft.git skills-src && mkdir -p .claude/skills && cp -r skills-src/internal/cli/skill/h-verify .claude/skills/h-verify && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
h-verify
GitHub stars
1.4k
Token cost
~3.5k tokens
SKILL.md length
1,439 words
Files
1
Skills in repo
24
Repo updated
First seen
Licence
Custom licence

At a glance

Verifies that a recorded DecisionRecord still holds — baseline-vs-measure evidence loop with drift detection per FPF Evidence Decay.

  • Works in 9 steps: Identify the decision → Read the decision's claims and predictions → Baseline (if drift detection wanted) → …
  • The user asks did dec-X work
  • SKILL.md covers Conditional project-memory…, Step 1 — Identify the decision, Step 2 — Read the decision's… and Step 3 — Baseline (if drift…, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

H Verify is an agent skill from m0n0x41d/haft. Verifies that a recorded DecisionRecord still holds — baseline-vs-measure evidence loop with drift detection per FPF Evidence Decay. Make sure to use this skill whenever the user asks "did dec-X work", "is decision Y still valid", "did the prediction come true", "check if the migration held", "is X stale", "measure that decision against reality", "did we actually fix Z", "is our caching decision still right" — or whenever a shipped decision needs a post-implementation reality-check before further work relies on…

Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering GitOps and Caching. It works with Model Context Protocol. The repository describes itself as: Engineering decisions engine that know when they're stale. Frame, compare, decide — with evidence decay and parity enforcement. For Claude Code, Cursor, Gemini CLI, Codex and more.

When your agent uses it

  • The user asks did dec-X work
  • Is decision Y still valid
  • Did the prediction come true
  • Check if the migration held

Example prompts

  • “did dec-X work”
  • “is decision Y still valid”
  • “did the prediction come true”
  • “/h-verify”

Requirements

  • Pre-approved tools (allowed-tools): Bash, Read, Grep, Glob, mcp__haft__haft_decision, mcp__haft__haft_query, mcp__haft__haft_refresh

Workflow steps

9 steps, taken from the step headings in SKILL.md.

  1. Identify the decision
  2. Read the decision's claims and predictions
  3. Baseline (if drift detection wanted)
  4. Gather evidence per prediction
  5. Attach evidence to the artifact
  6. Record the measurement verdict
  7. 5 — Loop verdict (FPF E.23)
  8. Handle stale or drifted decisions
  9. Present to operator

What it can do on your machine

Read from SKILL.md and the folder at commit e0c63f4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read
    • Grep
    • Glob
    • mcp__haft__haft_decision
    • mcp__haft__haft_query
    • mcp__haft__haft_refresh

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

H Verify loads about 3.5k tokens when it runs. Until then it costs about 176 tokens; SKILL.md has 1,439 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~176
When it runs · the whole SKILL.md, loaded when a task matches
~3.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read, Grep, Glob, mcp__haft__haft_decision, mcp__haft__haft_query, mcp__haft__haft_refresh

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,439 words (~3,545 tokens).

“You are running the FPF verification loop: baseline → measure → evidence → record. Drift detection compares current state against baselined affected_files; evidence decay reports surface when valid_until passes; measure verdict is recorded for the predictions the decide step declared.”

— opening of SKILL.md by m0n0x41d, Custom licence
name
h-verify
allowed-tools
Bash, Read, Grep, Glob, mcp__haft__haft_decision, mcp__haft__haft_query, mcp__haft__haft_refresh
when_to_use
A shipped DecisionRecord needs reality check, OR refresh-due artifact surfaced. Skip for one-off sanity checks where you can just run the test.
argument-hint
[decision-ref or 'what's stale' for full project verification]

Read the full SKILL.md on GitHub

Files

Just SKILL.md in internal/cli/skill/h-verify of m0n0x41d/haft.

Open the folder on GitHubat commit e0c63f4

Compare with similar skills

H Verify next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

H Verify compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
H Verify this skillm0n0x41d/haft1.4k—~3.5kAutomated safety check: NotesCustom licence
Gitops Knowledgefluxcd/agent-skills231—~3.8kAutomated safety check: PassApache-2.0
Ksaildevantler-tech/ksail165—~1.1kAutomated safety check: PassCustom licence
Gitops Cluster Debugfluxcd/agent-skills231—~4.2kAutomated safety check: PassApache-2.0
Create Policyharness/harness-skills115—~1.9kAutomated safety check: PassApache-2.0
Doc Genruvnet/ruflo74k—~271Automated safety check: PassMIT

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More from m0n0x41d/haft

All 24 skills in this repo
  • H Decide

    m0n0x41d/haft

    Routes one direct, unambiguous operator request to bind a bounded choice as a DecisionRecord.

    1.4k GitHub stars~3.5k tokensUpdated 12 days ago
    Auto-check: notes
  • H Explore

    m0n0x41d/haft

    Generate 3-5 genuinely distinct candidate approaches for a current question, with the weakest link of each kept visible.

    1.4k GitHub stars~1.4k tokensUpdated 12 days ago
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  • H Frame

    m0n0x41d/haft

    Shape an engineering problem without assuming a solution or forcing a project phase.

    1.4k GitHub stars~1.6k tokensUpdated 12 days ago
    Auto-check: notes
  • H Onboard

    m0n0x41d/haft

    Bootstrap Haft through one readable onboarding surface, prepare an initial profile review or one bounded existing-scope relation change, and orient applicable specification carriers.

    1.4k GitHub stars~2.2k tokensUpdated 12 days ago
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  • H Spec

    m0n0x41d/haft

    Manage Haft's typed specification lifecycle and source-currentness repair: inspect current SpecSections, draft or clarify carriers, classify FPF semantic fanout, record operator-requested spec…

    1.4k GitHub stars~3.4k tokensUpdated 12 days ago
    Auto-check: notes
  • H Status

    m0n0x41d/haft

    Read-only Haft project cockpit for active problems, decisions, notes, evidence freshness, drift, commissions, spec lifecycle, module decision coverage, and bounded exact file-link gaps from a…

    1.4k GitHub stars~2.3k tokensUpdated 12 days ago
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Questions about H Verify

What does H Verify do?

Verifies that a recorded DecisionRecord still holds — baseline-vs-measure evidence loop with drift detection per FPF Evidence Decay. H Verify is an agent skill from m0n0x41d/haft. Verifies that a recorded DecisionRecord still holds — baseline-vs-measure evidence loop with drift detection per FPF Evidence Decay.

When should I use H Verify?

H Verify fits situations like: the user asks did dec-X work; is decision Y still valid; did the prediction come true; check if the migration held.

How do I install H Verify in Claude Code?

Run `npx skills add m0n0x41d/haft --skill h-verify -a claude-code`. Or copy the skill folder (internal/cli/skill/h-verify in m0n0x41d/haft) into .claude/skills/h-verify in your project. Claude Code loads it when a task matches its description.

How do I install H Verify in Codex?

Run `npx skills add m0n0x41d/haft --skill h-verify -a codex`. Or copy the skill folder (internal/cli/skill/h-verify in m0n0x41d/haft) into .agents/skills/h-verify in your project. Codex loads it when a task matches its description.

Can I use H Verify in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add m0n0x41d/haft --skill h-verify -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/h-verify, .gemini/skills/h-verify, .github/skills/h-verify and .opencode/skills/h-verify in your project.

What does H Verify need to run?

SKILL.md names no scripts, command-line tools or credentials: H Verify is instructions for the agent only. Its frontmatter pre-approves these tools: Bash, Read, Grep, Glob, mcp__haft__haft_decision, mcp__haft__haft_query, mcp__haft__haft_refresh.

Does H Verify access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is H Verify safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does H Verify use?

H Verify has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does H Verify use?

About 3.5k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to H Verify?

Skills that share tags, products or a category with H Verify: Gitops Knowledge (fluxcd/agent-skills, 231 stars), Ksail (devantler-tech/ksail, 165 stars), Gitops Cluster Debug (fluxcd/agent-skills, 231 stars) and Create Policy (harness/harness-skills, 115 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains H Verify?

m0n0x41d (a GitHub user) maintains it in m0n0x41d/haft, which has 1,397 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on September 28, 2026.

Source: m0n0x41d/haft on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.