assess-run

assess-run is a skill for Claude Code from FarzamMohammadi/the-engineer. It costs 192 tokens per session (1,863 once invoked), scanned A, original, MIT.

A procedure for reviewing one run of The Engineer, including what its automation did, what code it committed, and what happened to the pull request. It uses the run’s recorded database, traces, journals, and repository history as evidence.

In plain words
What is it for?
Use it for an end-to-end post-mortem of a completed, interrupted, or failed Engineer run and to write improvement recommendations.
Why use it?
It separates judging the run from deciding how The Engineer should improve. This exposes missing records, weak pipeline steps, crashes, and lessons that can apply to future tasks.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths.

Good fit Use it for an end-to-end post-mortem of a completed, interrupted, or failed Engineer run and to write improvement recommendations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/farzammohammadi/the-engineer/assess-run
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add FarzamMohammadi/the-engineer --skill assess-run
Clone the repo
git clone --depth 1 https://github.com/FarzamMohammadi/the-engineer

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for assess-run

README.md
[![agentmods](https://agentmods.dev/badge/skills/farzammohammadi/the-engineer/assess-run/github.svg)](https://agentmods.dev/skills/farzammohammadi/the-engineer/assess-run)
Your own site
<a href="https://agentmods.dev/skills/farzammohammadi/the-engineer/assess-run"><img src="https://agentmods.dev/badge/skills/farzammohammadi/the-engineer/assess-run/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for assess-run

Your own site · 80×15
<a href="https://agentmods.dev/skills/farzammohammadi/the-engineer/assess-run"><img src="https://agentmods.dev/badge/skills/farzammohammadi/the-engineer/assess-run.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 192 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,863 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00192 $0.01863
Opus 5 $0.00096 $0.00932
Sonnet 5 $0.00038 $0.00373
Haiku 4.5 $0.00019 $0.00186

Measured 11d ago against content hash acc682890266, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

assess-run scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/peek.sh, scripts/triage.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/assess-run/SKILL.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Assess Run

Post-mortem one run of The Engineer — a task moving through (or stopped in, or crashed out of) the pipeline — and turn it into improvements to The Engineer itself.

Hold two questions apart:

  1. Was this run good? — the machinery, each phase, the commits, the PR.
  2. What should change in The Engineer so the next run is better?

Deliverable: a short report at .claude/temp/assess-run/<task-short>-<date>.md, then walk it with the owner.

Principles

  • The trail is the evidence. Judge only from what the system recorded — DB, traces, commits, PR. If you can't reconstruct the story from the trail, that gap is itself a finding.
  • Honest, not flattering. A post-mortem, not a status report. If a phase phoned it in, say so with the artifact. If it was clean, say why, so it's repeatable.
  • Improvements are principles, never patches. A prompt fix must sharpen the agent's judgment across the next hundred tasks, not the one case. "Gather must persist acceptance criteria to the structured field" generalizes; "when the issue mentions a prefix, check the classifier" does not.
  • Tiered, not exhaustive. Reconstruct cheaply from the DB first; open a raw trace only when a hypothesis needs the agent's actual words. Most of a clean run isn't worth reading.

1. Pick the run and the mode

The argument is a task id or prefix. With none, run triage with no argument to list recent runs and ask. The owner often hands you the situation ("stopped at self-review", "crashed") — treat it as the lead, confirm it against the trail.

Mode shapes emphasis: completed (did it finish good, not just finish?) · stopped (active/blocked/queued — why, and is the stop legitimate or a defect?) · crashed (root cause, and did recovery work?).

Home defaults to ~/.engineer; honor --home / $ENGINEER_HOME.

2. Triage — reconstruct the lifecycle

.claude/skills/assess-run/scripts/triage.sh <task-id-or-prefix>      # --home <dir> for a custom data dir

Read the full file on GitHub · 103 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 103 lines · 192 tokens per session scan A acc682890266

Subscribe to this mod's changes

assess-run is a skill published in the GitHub repository FarzamMohammadi/the-engineer (12 stars, last pushed 2mo ago), licensed MIT. It adds 192 tokens to every session and 1,863 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

doubt-driven-review

In-flight adversarial check on a non-trivial decision BEFORE it stands — distinct from post-hoc review of a finished diff. Use on "stress-test this decision", "are we sure about this", "verify before commit", "poke holes in this", when working in unfamiliar code, or before an irreversible step (migration, prod deploy…

BlackBeltTechnology/pi-agent-dashboard · 90 tokens

release-cut

Cut a new pi-agent-dashboard release: promote ## [Unreleased] in CHANGELOG.md, bump every workspace package.json per SemVer, commit, tag v , and push — triggering the Release workflow that publishes every non-private workspace, builds the Electron artifacts, and creates a GitHub Release. Use on "cut a release"…

BlackBeltTechnology/pi-agent-dashboard · 93 tokens

spec-coherence-check

Sweep all active OpenSpec proposals for staleness, conflicts, and obsolescence against the current codebase and archived changes. Use when proposals may be outdated, when checking cross-proposal conflicts, or before starting a batch of implementations. Produces a gap-analysis report, updates a priority queue file, and…

BlackBeltTechnology/pi-agent-dashboard · 80 tokens

ship-it

Worktree-side implementation orchestrator for an OpenSpec change. Idempotent: gates automated scenarios on filesystem reality, owns the red-test fix loop, runs the docker harness with always-teardown, then drives ship-change inline. Escape hatch writes SHIPITBLOCKED.md. Runnable headless. Triggers: "ship it", "build…

BlackBeltTechnology/pi-agent-dashboard · 92 tokens

faq-mine

Mine docs/faq.md from README.md, docs/.md, and the pi-hermes memory stores. Dispatches @fast subagents per source, dedupes against the existing FAQ, and merges entries in caveman style. Use when asked to "build / regenerate / extend the FAQ", "mine docs into FAQ", "mine hermes memory into FAQ", "surface runtime…

BlackBeltTechnology/pi-agent-dashboard · 94 tokens

session-to-guideline

Turn a pi session into a Markdown "how-we-did-it" collaboration guideline: reads the session's JSONL transcript and synthesizes a reusable playbook of which prompts worked, what had to be steered, and how to reproduce the result faster. Use when: "document this session", "write up how we did X with the AI", "make a…

BlackBeltTechnology/pi-agent-dashboard · 93 tokens