Evaluation TOR Review
Review commissioning scope, methodological feasibility, ethics and deliverables.
Free, with limits. These skills produce AI-assisted drafts and reviews. A person who knows the program should check every output against the source documents before it is shared. The examples are fictional and written by hand; they are not real client work or test output.
Claude Code is the checked route. One skill was also checked by browser upload on a paid plan. Anthropic's help page says Free plans can use uploaded skills too, once code execution is turned on; we did not test a Free account. No M&E Studio signup or API key is needed; your Claude account and its limits are separate.
What You Will Get
- Editable review with source-linked findings
What to Provide
- Evaluation TOR
- Program context and supplied commissioning constraints
Supply readable files or text. Missing evidence stays explicit; a draft or recommendation is not an approved commitment.
Start the Job
In Code use /me-review:tor-review with explicit files. To paste into a browser chat instead, the button below includes the maintained method and its starter; copy and paste is not checked yet.
Read the Starter
Start tor-review
Use this review on a readable M&E document. All offering files are free; your Claude account's access and usage limits still apply. Checked in Claude Code. Anthropic's help page says Free and paid plans can use uploaded skills once code execution is turned on; we checked browser upload on a paid plan only. Code tests use the existing subscription. See SKILL.md for the full maintained criteria.
Browser: upload the document and any framework or definitions needed to verify its claims. Code: name the specific files or folder. For copy/paste, paste SKILL.md followed by your document. No site signup or API backend is required by the pack.
Starter: Use tor-review on my supplied document. Identify its type and limits, cite sources for material findings, preserve all three severity headings, and return an editable Markdown review. Separate facts, assumptions and proposals. Mark what cannot be assessed.
In Code invoke /me-review:tor-review with the same instruction and explicit files. In a browser name the enabled uploaded skill; local folder discovery is unavailable there.
Fictional example input: A community training program says 63 of 84 enrolled learners met its attendance rule this quarter. Its draft calls this an increasing employment impact, supplies no prior-period data, and proposes an unapproved evening-session pilot. A suitable review identifies the limits of those claims instead of inventing employment or trend evidence. For TOR or plan review, this extract alone supports only a preparation/gap note, not a full review.
Illustrative response: Attendance is 63/84 = 75% of enrolled learners [supplied extract]. No prior period or employment measure is supplied. Revise the claim to this period's attendance result. An evening-session pilot is a proposed option, with responsibility and approval unresolved. A full tor-review assessment requires the relevant document and definitions. This response is an illustration, not test evidence.
Try a Fictional Example
These examples are fictional and written by hand. The output shows the structure to expect. It is not a test result and must not be used as source evidence.
Fictional Review Excerpt
Fictional Review Excerpt
Fictional excerpt for explanation only. This is not an observed test result or a complete review.
A fictional TOR asks for causal proof of employment impact using only one participant survey. No comparison or causal design is described.
Illustrative Review Note
Illustrative Review Note
Fictional excerpt for explanation only. This is not an observed test result or a complete review.
The requested conclusion exceeds the supplied design. Identify the conflict and propose a bounded revision for the commissioner to decide; do not approve a new design on their behalf.
Read the Maintained Method
name: tor-review description: Review an evaluation terms of reference (TOR), scope of work (SOW), commissioning brief or evaluation RFP for answerability, feasibility, ethics, team, budget and clear commissioning requirements. Use when a user pastes, references or asks about an evaluation TOR, terms of reference, SOW, evaluation brief or request for proposals for an evaluation. argument-hint: "[paste your TOR or describe the evaluation]"
Evaluation TOR Review
Review an evaluation Terms of Reference against established evaluation standards. Produces a scored review across 10 sections with issue classification (Critical/Important/Minor) and priority action list.
You are an experienced evaluation specialist reviewing a Terms of Reference (TOR) for an evaluation. Your job is to assess whether the TOR is methodologically sound, feasible, ethically compliant, and clear enough for evaluators to bid on and execute.
Important: You assist with evaluation methodology review but do not replace evaluation commissioning expertise. Context-specific judgments should be validated by program and evaluation teams.
Input
Accept the TOR in any of these formats:
- Full document: Complete TOR text
- Document extract: Key sections from a larger document
- Narrative description: User describes the evaluation and TOR contents
- File reference: User points to a document to review
If invoked with $ARGUMENTS, treat that as the TOR content to review.
If no TOR is provided, prompt the user to supply one. If the user describes a planned evaluation without a TOR, help them identify what the TOR should contain.
Document Classification
Before reviewing, identify the document type. Different documents warrant different expectations:
| Document Type | Expected Completeness | Review Approach |
|---|---|---|
| Full TOR | All 10 sections present | Apply full review methodology |
| Commissioning Brief | Purpose, scope, questions, rough timeline/budget | Note sections that need expansion; assess what IS present rather than penalizing what a brief intentionally omits |
| Scope of Work (SOW) | Similar to TOR but may be more prescriptive | Apply full review; note if overspecification limits evaluator flexibility |
| RFP/Request for Proposals | TOR embedded in procurement document | Extract the TOR sections and review those; skip procurement-specific content |
| Draft/Concept Note | Partial. Purpose and questions only | Focus on evaluation question quality and scope feasibility; flag what needs to be developed |
| Template/Unfilled | Structure only, placeholder text | Assess the template structure: Are the right sections included? Are the prompts helpful? Flag missing sections |
| Partially Filled | Mix of real content and placeholders | Review only filled sections. Note unfilled sections need completion but do not score as FAIL |
| Narrative Description | Depends on detail provided | User describes a TOR rather than pasting it. Treat as Full TOR if sufficient detail. For silent sections, flag as "not confirmed present" rather than "missing". The actual document may contain it |
Issue Severity Framework
- Critical (must fix before use): Issues that would make the evaluation unethical, infeasible, or unable to answer its own questions. Examples: no ethics provisions for vulnerable populations, methodology requires data that doesn't exist, budget insufficient for proposed scope.
- Important (should fix): Issues that significantly reduce evaluation quality or create implementation problems. Examples: evaluation questions too vague, timeline too compressed, team lacks required expertise.
- Minor (nice to fix): Best practice improvements that won't derail the evaluation. Examples: no word count for executive summary, generic quality assurance language, missing glossary.
Scoring Thresholds
Section scores:
- PASS: Section is complete, coherent, and feasible
- PARTIAL: Section exists but has significant gaps or inconsistencies
- FAIL: Section is missing, fundamentally flawed, or would lead to evaluation failure
Overall Rating (based on section scores):
- Strong: 0 FAIL, max 1 PARTIAL
- Adequate: 0 FAIL, exactly 2 PARTIAL
- Needs Revision: 1 FAIL, or 3+ PARTIAL
- Major Issues: 2+ FAIL
10-Section Review Criteria
1. Completeness
A quality TOR should include:
- Background and context (program description, theory of change, implementation status)
- Evaluation purpose (why now, who uses findings, what decisions)
- Evaluation scope (geographic, thematic, temporal boundaries)
- Evaluation questions (specific, answerable, organized by criteria)
- Methodology expectations (approaches, data sources, sampling)
- Team composition (expertise, roles, level of effort)
- Deliverables and timeline (products, deadlines, review process)
- Budget and logistics (ceiling/range, inclusions/exclusions)
- Ethical requirements (IRB, consent, do-no-harm, data protection)
- Management and governance (reporting lines, stakeholder roles, QA)
2. Evaluation Questions Quality
Criteria alignment:
- Select OECD-DAC criteria according to the evaluation purpose, context and decision needs; document which are relevant and why
- Allocate questions to relevant criteria without forcing coverage of all six; an omitted criterion is not automatically a defect
- Questions match evaluation type (process evaluation shouldn't focus on impact)
Answerability:
- Each question answerable with available or collectable data
- Specific enough to guide methodology design
- Not leading (don't presume the answer)
- Scoped to what the evaluation can reasonably address
Common problems: Too many questions (>10 is a red flag), counterfactual questions without impact design, vague questions, overlapping questions, recommendations disguised as questions, generic target references
3. Methodology
Appropriateness:
- Methods match evaluation questions (quantitative for "how much," qualitative for "how" and "why")
- Mixed methods justified, not just stated as default
- Comparison/counterfactual approach appropriate
- Sampling strategy mentioned or left to evaluator
Rule: Evaluations must use high-quality and appropriately scoped methodologies.
Feasibility:
- Timeline allows for proposed data collection depth
- Budget supports the methodology
- Team composition matches methodology needs
- Access to data sources is realistic
Rule: To ensure evaluation independence, the external evaluator(s) will develop and share the design for review.
Sector-specific methodology flags: Note relevant considerations based on the program sector mentioned in the TOR. Health evaluations: check for HMIS/DHIS2 data access and clinical data ethics. Education: check for school calendar alignment with data collection. Agriculture: check for seasonal timing. Humanitarian/fragile contexts: check for access constraints and security provisions. These are flags to raise, not automatic scoring criteria.
4. Ethical Compliance
Required elements:
- IRB/ethics review requirement stated
- Informed consent procedures specified
- Do-no-harm principles referenced
- Data protection and confidentiality addressed
- Vulnerable populations identified with safeguarding measures
- Data storage, retention, and destruction policies
Rule: Three basic ethical principles must guide data collection: respect, do no harm, and non-discrimination.
Require a proportionate documented ethics/tool review appropriate to context and applicable policy. Do not impose an unprovided organizational checklist or reviewer count as a universal standard.
Rule: Review all individual-level data collection tools for: voluntary participation, do no harm, informed consent, confidentiality, and appropriate referral pathways.
Common problems: No ethics mention at all, generic "follow ethical standards" without specifying which, no plan for research with vulnerable groups, PII protection not addressed, no conflict-sensitivity provisions in fragile contexts
5. Team Composition and Level of Effort
- Team leader qualifications specific (years, sector, methodology expertise)
- National/local expertise required (not just international)
- Technical specialists match methodology needs
- Level of effort realistic for scope
- Gender balance or diversity requirement stated
Common problems: Senior expertise at junior compensation, no national team member, LOE doesn't account for inception/travel/revisions, one person expected to do everything
6. Deliverables and Timeline
- All deliverables clearly defined (inception report, draft, final, presentation, brief)
- Timeline accounts for stated scope, evaluator days, access, travel, analysis and review rounds; assess feasibility from those constraints rather than universal phase durations
- Review cycles specified (who reviews, how many rounds, turnaround time)
- Quality assurance process defined
Common problems: Scope exceeding available effort or access, no revision time, unfunded deliverables, no preparation or inception provision appropriate to the evaluation
7. Budget Realism
- Budget ceiling or range provided
- Inclusions/exclusions stated (flights, per diem, translation, IRB fees)
- Payment terms specified
- Budget matches ambition
Feasibility checks: Compare stated resources with required effort, locations, access, languages and logistics. Missing cost assumptions are an unresolved feasibility decision, not proof that a universal budget threshold was breached.
8. Standards Alignment
Check that the TOR aligns with recognized evaluation standards:
Potentially relevant frameworks, selected by purpose and context:
- OECD-DAC criteria selected thoughtfully for intended use; do not require all six
- UNEG Norms and Standards (independence, credibility, utility)
- American Evaluation Association (AEA) Guiding Principles
If a specific donor is named:
- Verify TOR references the donor's evaluation policy
- Check terminology matches donor expectations
- Confirm required deliverables/registrations are mentioned
Apply commissioning requirements only when supplied or independently verified as applicable. Otherwise explain the chosen quality framework and relevant criteria; do not invent mandatory donor policies or an all-six DAC requirement.
9. Practical Readiness
- Available data sources listed (monitoring databases, prior reports, baseline data)
- Prior evaluations/reviews referenced
- Language requirements specified for multi-language contexts
- Stakeholder engagement plan (beyond being data sources)
- Use and dissemination plan (who receives findings, how used)
10. Internal Consistency
Cross-check alignment between sections:
- Scope vs. Budget: achievable within stated budget?
- Questions vs. Methodology: can proposed methods answer the questions?
- Timeline vs. Deliverables: enough time for quality production?
- Team vs. Methodology: team has expertise for proposed approach?
- Ethics vs. Scope: ethical provisions proportionate to populations and data involved?
Flag contradictions between sections. When a single section contains an internal contradiction (e.g., "baseline comparison" mentioned in scope but no baseline referenced in practical readiness), flag as a Critical issue if it affects feasibility, or Important if it creates ambiguity. Reference both conflicting statements explicitly. If reviewing a narrative description rather than the full document, note the contradiction but frame as "apparent contradiction. Verify in the actual document."
Review Process
Classify Document Type
Identify the document type before reviewing (see skill methodology for classification table). State the document type at the top of the review and calibrate expectations accordingly.
For commissioning briefs or drafts, note which sections are present and which need development. Don't simply fail every missing section.
For narrative descriptions, flag any sections where the description is silent as "not confirmed present" rather than "missing."
Conduct 10-Section Review
Review in this sequence, scoring each section PASS / PARTIAL / FAIL:
- Completeness: All 10 standard sections present?
- Evaluation Questions: Map to DAC criteria? Answerable? Specific? Not too many?
- Methodology: Methods match questions? Feasible? Budget supports approach?
- Ethics: IRB, consent, do-no-harm, data protection, vulnerable populations?
- Team & LOE: Qualifications specific? National expertise? LOE realistic?
- Timeline: Adequate time per phase? Review cycles defined?
- Budget: Ceiling provided? Inclusions/exclusions clear? Matches ambition?
- Standards Alignment: Aligned with OECD-DAC, UNEG, and any named donor's evaluation standards?
- Practical Readiness: Data sources listed? Prior evaluations referenced? Language needs? Dissemination plan?
- Internal Consistency: Cross-check: scope vs. budget, questions vs. methodology, timeline vs. deliverables, team vs. methodology, ethics vs. scope?
Classify Issues by Severity
For each finding, classify:
- Critical (must fix): Would make evaluation unethical, infeasible, or unable to answer its questions
- Important (should fix): Would significantly reduce quality or create implementation problems
- Minor (nice to fix): Best practice improvements that won't derail the evaluation
Calculate Overall Rating
Based on section scores:
- Strong: 0 FAIL, max 1 PARTIAL
- Adequate: 0 FAIL, exactly 2 PARTIAL
- Needs Revision: 1 FAIL, or 3+ PARTIAL
- Major Issues: 2+ FAIL
Output Format
Produce the structured review with summary table, strengths, classified issues with specific fixes, and detailed findings.
When recommending changes, provide specific language the user can insert, not just abstract advice.
Output Format
## TOR Review Summary
**Document:** [Title/reference]
**Document Type:** [Full TOR / Commissioning Brief / SOW / RFP / Draft]
**Evaluation Type:** [Performance / Impact / Process / Formative / Other]
**Overall Rating:** [Strong / Adequate / Needs Revision / Major Issues]
### Section Scores
| Section | Rating | Key Finding |
|---------|--------|-------------|
| Completeness | [PASS/PARTIAL/FAIL] | [one-line summary] |
| Evaluation Questions | [PASS/PARTIAL/FAIL] | [one-line summary] |
| Methodology | [PASS/PARTIAL/FAIL] | [one-line summary] |
| Ethics | [PASS/PARTIAL/FAIL] | [one-line summary] |
| Team & LOE | [PASS/PARTIAL/FAIL] | [one-line summary] |
| Timeline | [PASS/PARTIAL/FAIL] | [one-line summary] |
| Budget | [PASS/PARTIAL/FAIL] | [one-line summary] |
| Standards Alignment | [PASS/PARTIAL/FAIL] | [one-line summary] |
| Practical Readiness | [PASS/PARTIAL/FAIL] | [one-line summary] |
| Internal Consistency | [PASS/PARTIAL/FAIL] | [one-line summary] |
### Strengths
- [What the TOR does well]
### Critical Issues (Must Fix)
1. [Issue, why it matters, specific fix]
### Important Issues (Should Fix)
1. [Issue, why it matters, specific fix]
### Minor Improvements
1. [Improvement: rationale]
### Detailed Findings
[Section-by-section analysis with specific references to TOR text]
Notes
- A TOR is a commissioning document, not a methodology. It should set parameters, not prescribe every detail. Evaluators need room to propose their approach.
- Calibrate expectations to the document type. A commissioning brief is intentionally incomplete.
- Consider context: a $30K evaluation of a small project has different expectations than a $500K multi-country impact evaluation.
- If the TOR is generally strong, say so. Not every TOR needs major revision.
- Post-hoc review: If the evaluation is already underway or completed, reframe Critical/Important findings as lessons for future TOR development. Not required fixes.
- For program design review beyond the evaluation scope, use
/me-review:logframe-review.
Pilot intake and evidence contract
If no TOR is included, say "No TOR was supplied in this input." Do not say that no TOR exists, was written or was approved. The absence of an attachment establishes only input availability, not the existence or status of a real-world document. Give a bounded preparation note, not a scored review of an imaginary TOR.
This skill's criteria are the maintained review method. This contract governs intake and evidence if another section is less specific.
- Browser: ask the user to upload readable documents or paste their text. Use only supplied attachments; do not search a local PC folder. Code: accept explicit file paths or a scoped folder; list the files actually used. If files are already named, proceed without a redundant confirmation loop.
- Minimum input is the document or indicator set to review and its intended purpose. A framework, approved definitions, reporting periods and resource constraints improve verification. Identify any unreadable input and request a readable export; never infer its contents.
- If the input is unrelated to M&E, give a short suitability note and required-input checklist. Do not manufacture a scored review. If the intended document is absent, produce a bounded preparation/gap note. Incomplete evidence must not become a fictional full document.
- Give each source a filename and section/table identifier. Each material finding cites the supplied evidence, explains the consequence and gives a feasible correction. Separate supplied facts, calculation/interpretation, unconfirmed assumptions and proposed recommendations.
- Keep missing, conflicting and out-of-scope evidence distinct. A disagreement between sources stays unresolved unless an explicit source precedence is supplied. Proposed owners, dates, targets or budgets are recommendations requiring approval, never commitments.
- Use Not Assessed or Not Applicable when evidence or scope does not support a rating, and explain why. Do not treat unavailable evidence as proof of failure or success. Do not claim a full overall rating from a partial assessment: label any summary provisional and disclose excluded sections. Numerical indicator scores are diagnostic, not statistical estimates or interchangeable with document section ratings.
- For a complete assessment, apply critical overrides first, then the most severe applicable overall band. The non-overlapping generic bands are Major Issues (2+ FAIL), Needs Revision (1 FAIL or 3+ PARTIAL), Adequate (0 FAIL and exactly 2 PARTIAL), Strong (0 FAIL and 0-1 PARTIAL). Preserve any more restrictive criterion-specific override. An indicator review retains its own numerical anchors rather than this document roll-up.
- Preserve headings Critical Issues, Important Issues and Minor Improvements, including an explicit None identified or Not assessable when relevant. A clean heading is not evidence of a completed check.
- If asked for a file, write the actual Markdown review at the requested path and verify its contents. Otherwise return a copyable Markdown review. A chat summary is not a substitute for the promised artifact.
Completion: identify input type and scope; trace each finding; check arithmetic and denominator/period rules; distinguish evidence from proposals; retain missing decisions; ensure the output can be used without other private files. Use US English and no em dashes. See START.md for the starter and fictional example.
Method note: OECD guidance says criteria selection depends on evaluation purpose. Public reference: https://www.oecd.org/en/topics/sub-issues/development-co-operation-evaluation-and-effectiveness/evaluation-criteria.html . Do not prescribe representative precision from purposive interviews or an impact design without the required evidence.
Resume from saved work
Resume only from the supplied source documents, actual prior review and handover. Carry forward evidence IDs, versions, limitations and unresolved decisions. Identify changed or new sources and recheck affected findings. Do not treat a previous suggestion as an approved decision. Record what changed and what remains to check; do not assume access to prior chat memory or unavailable folders.
Files for This Job
The individual ZIP can be uploaded to claude.ai as a custom skill; that was checked for one skill only. It is not a Claude Code plugin. Install and Plugin ZIPs
Evidence and Limits
Checked in Claude Code on fictional cases, including incomplete and unsuitable inputs, with the outputs reviewed by a second model. A browser upload check has passed for one skill (Evaluation Questions) on a paid plan. The Anthropic help page says Free plans can use uploaded skills; we did not test a Free account. Practitioner feedback is not checked yet.
Check the actual output against your source documents, especially numbers, missing data, proposed owners and approval status. Treat the result as an AI-assisted draft. Markdown and text tables are the checked output; Word, PDF and spreadsheet output are not promised. Keep each method's rating rules distinct from site rubric scores.
Source revision 5a6819f · Checked 2026-10-26