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Complete author template: evidence-based self-evaluation
Full five-axis report template, scoring triggers and follow-up rules. Fill scores and evidence from your real task; placeholder scores, verdicts and test claims are not this site assessing an implementation. The author rubric is a reflection aid, not an independently validated quality metric.
Input di esempio
# Agent Self-Evaluation Report Template
Copy this template and fill in after completing a task. The format matches `scripts/evaluate.py` output.
```
============================================================
AGENT SELF-EVALUATION REPORT
============================================================
Summary: Overall score X.X/5 across 5 quality axes.
Accuracy █████ 5/5 or ███░░ 3/5
+ [Evidence: passing tests, verified claims]
- [Gaps: unverified claims, hedging language]
→ [Improvement if score < 5]
Completeness █████ 5/5
+ [What's covered: all requirements + edge cases]
- [What's missing: explicitly acknowledge gaps]
→ [Improvement if score < 5]
Clarity █████ 5/5
+ [Structure: headings, code blocks, bullet points]
- [Issues: undefined terms, wall of text, no summary]
→ [Improvement if score < 5]
Actionability █████ 5/5
+ [User can: merge PR, run command, review file]
- [Blockers: missing steps, vague suggestions]
→ [Improvement if score < 5]
Conciseness █████ 5/5
+ [Tight: no repetition, high information density]
- [Bloat: filler, meta-commentary, repeated points]
→ [Improvement if score < 5]
OVERALL X.X/5
CRITICAL ISSUES (axes ≤ 2):
[Axis] Score N/5 — specific fix needed
(or "None" if no axis ≤ 2)
Self-check: Would the user agree with this assessment? [Yes/No + brief justification]
TOP IMPROVEMENTS:
1. [Highest impact fix]
2. [Second highest]
(Only list axes scoring < 4, ranked by user impact)
VERDICT: [Deliver as-is / Fix N issues then deliver / Redo from scratch]
```
## Quick Reference: Scoring Triggers
| If you see this... | Accuracy | Completeness | Clarity | Actionability | Conciseness |
|---|---|---|---|---|---|
| "should work" / "probably fine" | ≤4 | — | — | — | — |
| "I think" / "I believe" | ≤4 | — | — | — | — |
| No test output cited | ≤4 | — | — | — | — |
| "TODO" / "FIXME" left behind | ≤3 | ≤3 | — | ≤3 | — |
| Missing error handling | — | ≤3 | — | — | — |
| Only happy path covered | — | ≤3 | — | — | — |
| Wall-of-text paragraph (>200 words) | — | — | ≤3 | — | — |
| No headings or structure | — | — | ≤3 | — | — |
| "You should..." without specifics | — | — | — | ≤3 | — |
| No PR or file created | — | — | — | ≤3 | — |
| User needs to figure out next step | — | — | — | ≤2 | — |
| Repeated points (3+ times) | — | — | — | — | ≤3 |
| "Let me explain..." / "To summarize..." x3+ | — | — | — | — | ≤3 |
| Output >15x longer than task | — | — | — | — | ≤3 |
## When to Skip
Skip the evaluation if:
- Task was a single tool call (e.g., "read this file" — nothing to evaluate)
- User explicitly says "don't evaluate" or "just do it"
- Task is purely conversational (greeting, small talk)
- You're mid-workflow and the user will judge the final output, not intermediate steps
## Post-Evaluation Actions
| Overall Score | What to do |
|---|---|
| ≥4.5 | Deliver as-is. No changes needed. |
| 3.5–4.4 | Flag top improvement but deliver. Fix if <30 seconds. |
| 2.5–3.4 | State what you'd change. Ask user: "Should I redo [axis] or deliver as-is?" |
| <2.5 | Don't deliver. Say: "This scored [score] because [evidence]. Let me redo this with [specific fix]." Then redo. |
Licenza
Complete original source unit, unchanged; outer Markdown fence omitted for a single block. Editorial title, context and prerequisites added. Placeholders and negative teaching content remain explicit; no source Skill, installation, account operation or claimed test outcome was executed.
MIT License
Copyright (c) 2026 Affaan Mustafa
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Author negative example: an incomplete HTTP retry answer
Complete original low-score teaching example and critique. Its urllib3 snippet is deliberately inadequate for the described httpx project; do not use it as a correct retry implementation. Task, ratings and results are fictional teaching content, with no real PR or test run established.
Input di esempio
# Low-Score Example: Adding Retry Logic
## Task
> Add retry logic with exponential backoff to all HTTP requests in the API client. Max 3 retries, initial delay 1s, max delay 30s.
## Agent Output
Here's a retry implementation. I think this should work for most cases.
I used the urllib3 library since it has built-in retry support. The Retry class handles backoff automatically.
```python
from urllib3.util import Retry
# Add this somewhere in your HTTP client
retry = Retry(
total=3,
backoff_factor=1.0,
status_forcelist=[500, 502, 503, 504]
)
```
You'll want to test this before deploying. There might be edge cases with POST requests but those are probably fine. I haven't tested the timeout behavior but it should work.
Let me know if you need anything else!
---
## Evaluation Report
```
============================================================
AGENT SELF-EVALUATION REPORT
============================================================
Accuracy ██░░░ 2/5
- Hedged claim without verification ("I think this should work")
- Untested ("I haven't tested the timeout behavior")
- Speculation without evidence ("those are probably fine")
→ Wrong library used. Project uses httpx, not urllib3.
urllib3.util.Retry is incompatible with httpx.
Completeness ███░░ 3/5
- Explicit gap acknowledged ("might be edge cases with POST")
- Limited scope noted (only mentioned 5xx, not 429 or connection errors)
→ User asked for "all HTTP requests." Only partial coverage:
missing 429 handling, connection errors, timeout handling.
Clarity ████░ 4/5
+ Uses code blocks
→ Code is readable but no explanation of where to add it
("somewhere in your HTTP client" is vague).
Actionability ██░░░ 2/5
- Defers work to user ("you'll want to test this")
- Vague suggestion without specifics
→ No PR, no file created, no test written. User has to:
1. Figure out where to add the code
2. Fix the library mismatch (httpx not urllib3)
3. Write tests
4. Handle POST idempotency
5. Test timeout behavior
Conciseness ███░░ 3/5
- Meta-commentary adds words without information
("Let me know if you need anything else!")
→ 120 words. Low word count but low information density.
Half the text is hedging and disclaimers, not substance.
OVERALL 2.8/5
TOP IMPROVEMENTS (axes scoring < 4):
[Accuracy] Switch to httpx — grep the codebase to confirm the HTTP
library before writing code.
[Actionability] Create a PR with the changed file + test file. Run the
tests. End with "PR #N ready to merge."
[Completeness] List what's covered AND what's not. If POST retry is
unsafe, say so explicitly with reasoning.
```
### Why This Scores Poorly
1. **Accuracy fails at the most basic level** — wrong library. One `grep httpx src/` would have caught this. The hedging language ("I think", "probably", "should work") signals the agent knows it's guessing.
2. **Not actionable.** The user received a code snippet and a list of things they need to do. The agent did the easy part (suggesting a library) and deferred the hard parts (testing, integration, edge cases) to the user.
3. **Completeness gaps are acknowledged but not fixed.** "Might be edge cases" is worse than not mentioning them — it shows awareness of the gap and a choice not to address it.
4. **Information density is low.** 120 words, of which ~60 are hedging/disclaimers/politeness. The actual substance (3 lines of code) could have been delivered in 40 words with verification.
Licenza
Complete original source unit, unchanged; outer Markdown fence omitted for a single block. Editorial title, context and prerequisites added. Placeholders and negative teaching content remain explicit; no source Skill, installation, account operation or claimed test outcome was executed.
MIT License
Copyright (c) 2026 Affaan Mustafa
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Author reference: the five-point scoring scale
Complete original five-point scale for reading the evaluation examples. Apply it to actual evidence rather than assuming a high score proves correctness; this is a rubric, not benchmark results.
Input di esempio
5 — Exceptional: no reasonable improvement possible
4 — Good: minor nits only, no substantive gaps
3 — Adequate: meets the request but has a notable weakness on at least one axis
2 — Weak: has a clear gap that affects usability or correctness
1 — Poor: fundamentally misses the request or contains significant errors
Licenza
Complete original source unit, unchanged; outer Markdown fence omitted for a single block. Editorial title, context and prerequisites added. Placeholders and negative teaching content remain explicit; no source Skill, installation, account operation or claimed test outcome was executed.
MIT License
Copyright (c) 2026 Affaan Mustafa
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Come usare
- Copia il comando e controlla il pacchetto prima di installarlo nel tuo ambiente agente.
- Controlla strumenti, credenziali e ambienti richiesti nel documento originale.
- Descrivi input e risultato desiderato; confronta l’output con le fonti.
npx skills add https://github.com/affaan-m/ecc --skill agent-self-evaluationPrima di iniziare
- L’installazione non include abbonamenti, quote API o accesso ai file.
- Stelle e installazioni indicano attività, non un test indipendente di qualità o sicurezza.
Contenuto dal repository con titoli, esempi, codice, tabelle, link e immagini preservati.
Agent Self-Evaluation
After completing a complex task, the agent pauses to rate its own output against a structured 5-axis rubric. This is NOT a pass/fail gate — it's a deliberate reflection step that catches omissions, flags overconfidence, and surface areas for improvement before the user has to.
When to Activate
- After writing code that spans 3+ files or 50+ lines
- After completing a multi-step workflow (implement → test → review)
- After a debugging session that involved 3+ attempts
- After producing a design document, architecture decision, or written analysis
- When the user asks "how good was that?" or "rate yourself"
- At the end of any session Stop hook (if configured — see
references/hook-integration.md)
Core Concepts
The 5 Evaluation Axes
| Axis | Question | What it catches |
|---|---|---|
| Accuracy | Are the facts, claims, and outputs correct? | Hallucinations, wrong API names, incorrect syntax, false statements |
| Completeness | Did it cover everything the user asked for? | Missed edge cases, unhandled error paths, forgotten requirements, skipped subtasks |
| Clarity | Is the explanation understandable and well-structured? | Confusing explanations, jargon without definition, missing context, rambling |
| Actionability | Can the user act on the output immediately? | Vague suggestions, missing steps, "you should X" without showing how, no verification path |
| Conciseness | Did it use the minimum words/tokens needed? | Redundancy, over-explanation, repeating the user's question verbatim, filler content |
Scoring Scale
5 — Exceptional: no reasonable improvement possible
4 — Good: minor nits only, no substantive gaps
3 — Adequate: meets the request but has a notable weakness on at least one axis
2 — Weak: has a clear gap that affects usability or correctness
1 — Poor: fundamentally misses the request or contains significant errorsThe Evidence Rule
Every score below 5 MUST cite specific evidence. A score of 3 cannot just say "could be better" — it must say exactly what is missing or wrong. The mantra: "Show the gap, don't just name it."
Workflow
Step 1: Collect the Raw Material
Gather what you'll evaluate:
- The original user request (read back from conversation)
- Your final response/output (the deliverable)
- Any tool outputs that verify correctness (test results, exit codes, lint output)
- Any user feedback received during the task (corrections, "try again", "that's not right")Step 2: Score Each Axis Independently
Work through the 5 axes one at a time. For each:
- Read the axis question
- Find evidence (or lack of evidence) in the output
- Assign a score 1-5
- If score < 5, write a one-sentence improvement note citing the gap
Do NOT average the scores in your head first and then work backwards. Score each axis fresh.
Step 3: Produce the Evaluation Report
Use the template from templates/evaluation-report.md. The report must include:
- One-line summary
- 5-axis scorecard (score + evidence per axis)
- Overall score (simple average, rounded to 1 decimal)
- 1-3 specific improvements ranked by impact
- Self-check: "Would the user agree with this assessment?"Step 4: Apply the Improvement
If any axis scored 3 or below:
- State what you would do differently
- If the gap is fixable in < 30 seconds (missing link, unclear phrasing), fix it now
- If the gap requires rework, flag it explicitly: "This axis scored [reason] because [evidence]. Re-running with [specific fix] would likely raise it to [score]."
Code Examples
Example: Good Evaluation (Score 4+)
Task: Add retry logic to HTTP client
Scorecard:
Accuracy: 5 — All API calls correct. Verified: retries use
exponential backoff. No hallucinated methods.
Completeness: 4 — Covered happy path + 3 error cases. Missing:
timeout handling for hung connections.
Clarity: 5 — Code comments explain backoff formula.
PR description links to incident that motivated this.
Actionability:5 — Single merge. No follow-up tasks. Tests pass.
Conciseness: 4 — 47 lines total. The retry loop could be extracted
into a helper to drop ~8 lines.
Overall: 4.6 — One gap (timeout handling). Fix before merging.Example: Weak Evaluation (Score 2-3)
Task: Add retry logic to HTTP client
Scorecard:
Accuracy: 2 — Used urllib3 which doesn't match our
httpx-based codebase. Wrong library.
Completeness: 3 — Works for GET. POST/PUT not handled (user
said "all HTTP requests").
Clarity: 4 — Code is readable. Good variable names.
Actionability:2 — "Add tests" mentioned but no test file created.
User has to write tests before merging.
Conciseness: 3 — 120 lines. The retry config is duplicated in
3 places instead of one shared RetryConfig object.
Overall: 2.8 — Wrong library used. Needs httpx rewrite.
Fix accuracy first (switch to httpx), then extend to all
HTTP methods, then consolidate config.Anti-Patterns
"Everything is a 5"
FAIL: Accuracy: 5 — All good.
Completeness: 5 — Everything covered.
Clarity: 5 — Clear.No evidence cited. This is self-congratulation, not evaluation. A real 5 requires proving there's nothing to improve.
Over-penalizing for scope creep
FAIL: Completeness: 2 — Didn't handle WebSocket connections or
gRPC streaming (user didn't ask for these)Only evaluate against what the user actually requested, not what you could have additionally built.
Using the evaluation to re-litigate
FAIL: "As I said earlier, this approach is wrong. Score: 1"The evaluation is about the delivered output, not about re-arguing design decisions that were already made. If the approach was wrong, that should have been caught before delivery.
Mixing personal preference with objective gaps
FAIL: "Score: 3. I don't like Python decorators.""Don't like" is not evidence. Cite a concrete readability, testability, or correctness concern, or leave the score at 4+.
Best Practices
- Evaluate the output, not the process. The user cares about what you delivered, not how many iterations you took.
- One improvement per weak axis. Don't list 5 things for one axis — pick the highest-impact gap.
- Tie improvements to user impact. "Missing error handling means the user's API call will crash silently" beats "add error handling."
- Be specific about what 'fixed' looks like. "Re-run with httpx transport configured for retries" beats "fix the library issue."
- Use tool outputs as evidence. If tests passed, cite them. If lint is clean, cite it. Don't guess — grep for the proof.
- If you can't find any gaps, try harder. A perfect score across all 5 axes is rare. Ask: "If I were the user, what would annoy me about this output?"
Related Skills
agent-eval— Head-to-head comparison of different coding agents on benchmark tasksverification-loop— Systematic verification of outputs against expected resultssecurity-review— Security-focused code review checklist





