Agent skill

Harness Reckoning

by FairladyZ625 in FairladyZ625/harness-anything

Run and interpret a read-only retrospective over Harness ledger projections, then prepare evidence-backed mechanism fixes, deletion candidates, or time-bounded rule proposals for human adjudication.

AGPL-3.0Auto-check passedProduct & Project Management

Install Harness Reckoning

skills CLI
$ npx skills add FairladyZ625/harness-anything --skill harness-reckoning -a claude-code

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

GitHub CLI
$ gh skill install FairladyZ625/harness-anything harness-reckoning --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/FairladyZ625/harness-anything.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/harness-reckoning .claude/skills/harness-reckoning && 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
harness-reckoning
GitHub stars
226
Token cost
~768 tokens
SKILL.md length
411 words
Files
4 (incl. references)
Skills in repo
12
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Run and interpret a read-only retrospective over Harness ledger projections, then prepare evidence-backed mechanism fixes, deletion candidates, or time-bounded rule proposals for human adjudication.

  • Works in 4 steps: Fix the mechanism, configuration, or… → If no framework fix applies, propose… → Only then consider a new rule; require a… → …
  • Tasks that involve Proposals and quotes
  • SKILL.md covers Run, Adjudicate, Boundaries and Make it yours, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Harness Reckoning is an agent skill from FairladyZ625/harness-anything. Run and interpret a read-only retrospective over Harness ledger projections, then prepare evidence-backed mechanism fixes, deletion candidates, or time-bounded rule proposals for human adjudication.

Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `agents/openai.yaml`, `references/method.md` and `references/source-contract.md`).

It sits in Product & Project Management, covering Proposals and quotes and Retrospectives. The repository describes itself as: Clean-room Harness rewrite monorepo. The licence is AGPL-3.0.

When your agent uses it

  • Tasks that involve Proposals and quotes
  • Tasks that involve Retrospectives

Example prompts

  • “/harness-reckoning”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Fix the mechanism, configuration, or error message that created the friction.
  2. If no framework fix applies, propose removal of an obsolete rule.
  3. Only then consider a new rule; require a trigger and expiration date.
  4. A second occurrence of the same class is a structural problem, not permission for another local patch.

What it can do on your machine

Read from SKILL.md and the folder at commit c805ddf. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    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

Harness Reckoning loads about 768 tokens when it runs, and up to ~1.2k if it reads all its reference files. Until then it costs about 54 tokens; SKILL.md has 411 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~768
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.2k

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 passed

The automated check found no risky patterns in SKILL.md.

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

The full file from FairladyZ625/harness-anything at commit c805ddf, republished under its AGPL-3.0 licence (© FairladyZ625). 411 words, ~768 tokens.

Download SKILL.mdSave it as .claude/skills/harness-reckoning/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
harness-reckoning
description
Run and interpret a read-only retrospective over Harness ledger projections, then prepare evidence-backed mechanism fixes, deletion candidates, or time-bounded rule proposals for human adjudication.

Harness Reckoning

Use this skill for a periodic, offline review of repeated friction without allowing the reviewer to modify rules, Tasks, Facts, or Decisions.

Run

The system preset starts paused because a new Harness may not have an agent runtime. Choose an agent and runtime instance, then enable it. Its mission invokes:

sh
ha schedule reckon

The command reads the attached Harness projection and writes only stdout. The occurrence runtime's final output is the report artifact. A missing projection is an error, never a healthy empty report. Open candidate evidence with the relevant read commands, such as ha task show, ha runtime status, and ha fact show. Do not run commands that record or change entities.

Optional sources follow references/source-contract.md. Add their read command and evidence-merging instructions to the preset mission.

Adjudicate

Read the evidence link or identifier on every candidate. Apply the funnel in order:

  1. Fix the mechanism, configuration, or error message that created the friction.
  2. If no framework fix applies, propose removal of an obsolete rule.
  3. Only then consider a new rule; require a trigger and expiration date.
  4. A second occurrence of the same class is a structural problem, not permission for another local patch.

The report is advisory. A human decides whether to create a Task, retire a rule, or propose a Decision. Quiet output is a valid health attestation; never manufacture findings.

Show full SKILL.md (185 more words)Show less

Boundaries

Occurrence claim ownership (nodeId plus claimFence) supplies multi-node mutual exclusion. Each result belongs to its occurrence; no shared report path is used. Edge nodes read their local projection, so the report identifies local evidence rather than pretending to be a fleet-wide canonical snapshot.

Make it yours

  • Edit the preset mission to change the questions, evidence depth, or report format.
  • Add a read-only external source and tell the mission how its evidence joins the built-in signals.
  • Select or replace the agent and runtime instance in the Schedule editor. The preset remains protected from deletion, but its cadence, timezone, mission, and target are yours to change.

External source examples

A software team may add a walls report or inspect an AGENTS.md retirement marker. Another team might read support escalations, operations handoffs, or a customer feedback export. These are site-specific inputs and are never part of the built-in signal set. A source must declare its read scope and return stable evidence identifiers.

The method uses offline replay, external evidence, a minimal proposed difference, and human adjudication. It deliberately avoids online self-editing and append-only memory growth. See references/method.md.

© FairladyZ625, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in skills/harness-reckoning of FairladyZ625/harness-anything.

  • SKILL.md
  • agents/openai.yaml
  • references/method.md
  • references/source-contract.md

Open the folder on GitHubat commit c805ddf

Compare with similar skills

Harness Reckoning 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.

Harness Reckoning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Harness Reckoning this skillFairladyZ625/harness-anything226—~768Automated safety check: PassAGPL-3.0
TuneNecmttn/ax115—~1.3kAutomated safety check: PassAGPL-3.0
RetroNecmttn/ax115—~3.5kAutomated safety check: PassAGPL-3.0
Self Retrospectivekid0317/crewai_mas_demo165—~505Automated safety check: PassNone
Weekly Engineering Retrogarrytan/gstack136k—~2.4kAutomated safety check: PassMIT
Dough Execute Planterryyin/lizard2.5k—~4.3kAutomated safety check: PassCustom licence

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Questions about Harness Reckoning

What does Harness Reckoning do?

Run and interpret a read-only retrospective over Harness ledger projections, then prepare evidence-backed mechanism fixes, deletion candidates, or time-bounded rule proposals for human adjudication. Harness Reckoning is an agent skill from FairladyZ625/harness-anything. Run and interpret a read-only retrospective over Harness ledger projections, then prepare evidence-backed mechanism fixes, deletion candidates, or time-bounded rule proposals for human adjudication.

When should I use Harness Reckoning?

Harness Reckoning fits situations like: tasks that involve Proposals and quotes; tasks that involve Retrospectives.

How do I install Harness Reckoning in Claude Code?

Run `npx skills add FairladyZ625/harness-anything --skill harness-reckoning -a claude-code`. Or copy the skill folder (skills/harness-reckoning in FairladyZ625/harness-anything) into .claude/skills/harness-reckoning in your project. Claude Code loads it when a task matches its description.

How do I install Harness Reckoning in Codex?

Run `npx skills add FairladyZ625/harness-anything --skill harness-reckoning -a codex`. Or copy the skill folder (skills/harness-reckoning in FairladyZ625/harness-anything) into .agents/skills/harness-reckoning in your project. Codex loads it when a task matches its description.

Can I use Harness Reckoning 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 FairladyZ625/harness-anything --skill harness-reckoning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/harness-reckoning, .gemini/skills/harness-reckoning, .github/skills/harness-reckoning and .opencode/skills/harness-reckoning in your project.

What does Harness Reckoning need to run?

SKILL.md names no scripts, command-line tools or credentials: Harness Reckoning is instructions for the agent only.

Does Harness Reckoning 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 Harness Reckoning safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Harness Reckoning use?

Harness Reckoning is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Harness Reckoning use?

About 768 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 454 tokens, read only when the agent opens those files.

What are the alternatives to Harness Reckoning?

Skills that share tags, products or a category with Harness Reckoning: Tune (Necmttn/ax, 115 stars), Retro (Necmttn/ax, 115 stars), Self Retrospective (kid0317/crewai_mas_demo, 165 stars) and Weekly Engineering Retro (garrytan/gstack, 136k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Harness Reckoning?

FairladyZ625 (a GitHub user) maintains it in FairladyZ625/harness-anything, which has 226 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 10, 2026.

Source: FairladyZ625/harness-anything on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.